Scientist Jobs

Principal Data Scientist

Lead Data Scientist

From $105/yr

Work sponsorship is not available for this position. Job Title: Data Scientist Senior (Quantitative Analytics Lead) Locations: Onsite in Mclean, VA (5 days a week) Interview Type: In-Person Job Overview: Must Have Qualifications: E xperience with modelling- with at least 3-5 years of experience model testing and model development. Candidate must have a quantitative degree- master’s degree required but Doctorate is preferred Position Overview: We are currently seeking a Quantitative Analytics Senior to be responsible for the development and execution of statistical models and applications in support of business and risk decisions as a member of the House Price Index Modeling Team. This role is critical to advancing client’s mission of Making Home Possible by developing robust and interpretable models for tracking house price appreciation. Your Impact: • As a Data Scientist, you will join a group of skilled professionals who use data science to solve important business problems. • Developing analytical methods and models about the collateral underlying the mortgages in client's portfolio. Conducting research on enhancements to the existing models, and applying industry standard processes and techniques to meet various business needs. • Providing innovative, detailed and practical solutions to an extensive range of demanding and complicated problems. • Implementing statistical models in efficient software languages, coding model prototypes for specification and test cases, modifying source codes in the existing application. • Coordinating the testing through the model implementation, conducting back tests to monitor the model performance, and performing economic tests and stress tests to validate the model forecast results. • Providing modeling and analytical support to a line of business or product area, functioning as day-to-day technical specialist. • Preparing documentation for the technical analytics and rationale through the model development to comply with model oversight and support model review for approval. • Working under limited direction, independently resolving and developing approach to solutions. Qualifications: • Doctorate degree, or Master degree with 3 years of equivalent work experience, in quantitative finance, statistics, economics or a related quantitative field • Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, or computer programming to large data sets. Qualifying coursework may include—but is not limited to—statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, or Monte Carlo methods • Coursework or work experience writing statistical or optimization programs to develop models and algorithms. Programming languages may include—but are not limited to—SAS, Python, R, SQL, and MATLAB • Experience working with large data sets and relational database • Experience in statistical model development and implementation is preferred • Experience with software development and system setup for model application is preferred Benefits : We offer a benefits package including medical, dental, vision, and 401(k). Compensation: $105.00 – $115.00 per hour. This is the targeted compensation range for this role per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location. We are an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable federal, state, or local law.

Lead Data Scientist

At Memorial Hermann, we pursue a common goal of delivering high quality, efficient care while creating exceptional experiences for every member of our community. When we say every member of our community, that includes our employees. We know that when our employees feel cared for, heard and valued, they are inspired to create moments that exceed expectations, while prioritizing safety, compassion, personalization and efficiency. If you want to advance your career and contribute to our vision of creating healthier communities, now and for generations to come, we want you to be a part of our team. Job Summary Leads the analysis of complex and unstructured data sets using advanced statistical methods for use in data driven decision making. Responsible for leading cross-functional teams and providing in-depth data insights for complex business problems approached with advanced analytic techniques to collect, explore, and extract insights from structured and unstructured data. Manages engagement with internal customers on small and medium sized projects. Typically reports to the Manager of Data Science. Job Description MINIMUM QUALIFICATIONS Education: Bachelor’s Degree in science, engineering, computer science, mathematics, statistics, or related STEM field required. Master’s Degree in Data Science preferred. Licenses/Certifications: (None) Experience / Knowledge / Skills: * Seven (7) years of experience in data science is required * Professional experience in hospital setting, medical informatics, healthcare information technology/finance/revenue cycle data management, or Electronic Health Record (EHR) data management is preferred * Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.), technical expertise, mathematical skills and good understanding of design and architecture principles are required * Possesses deep understanding of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks * Proficient understanding of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications * Ability to communicate, gather requirements and execute storytelling with data * Possesses advanced level knowledge of the data science project life cycle * Proficient programming skills in addition to a working knowledge and experience of statistical analysis tools * Demonstrates proficiency in problem solving, analytical reasoning and decision-making skills * Demonstrates proficiency in identifying and seeking needed information to perform problem/situation analysis * Advanced level of understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex and incomplete sources * Exhibits strong project management skills, with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines * Advanced understanding of SQL database management tools * Exceptional analytical skills and ability to understand and interpret results based on advanced statistical techniques * Strong written and verbal communication skills in IT and business environments; ability to communicate to technical and non-technical audiences * Ability to work under minimal supervision in a fast-paced multidisciplinary environment * Advanced knowledge of data science methods – time series forecasting, linear regression, A/B testing, statistical testing, Clustering, etc. * Superior customer service in the form of first-rate work products and project management * Strong ability to manage challenging client situations * Strong ability to troubleshoot and recommend solutions * Strong ability to translate complex information for a wide range of stakeholders Principal Accountabilities * Leads high priority projects that impact the organization. * Leads complex issues and problems, and refers more complex issues to higher-level staff. * Provides technical supervision/mentoring to other data scientists and trains the broader audience on data science developments. * Provides leadership, coaching, and/or mentoring to subordinate group. * Develops custom data models and algorithms to apply to data sets. * Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions. Provides findings and analysis for use in decision making. * Performs research, analysis, and modeling on organizational data. * Maintains existing models and evaluates their goodness of fit. * Provides in-depth data insights from structured and unstructured data for complex business problems through use of advanced analytics techniques, predictive modeling, data mining/visualization and pattern analysis tools. * Develops and tests hypotheses and communicates findings in clear, precise and actionable manner to project and leadership teams. * Works closely with teams to identify, understand, and resolve data issues and improve efficiency, productivity and scalability of data processes. * Assists with the evaluation of data science vendors and tools. * Ensures safe care to patients, staff and visitors; adheres to all Memorial Hermann policies, procedures, and standards within budgetary specifications including time management, supply management, productivity and quality of service. * Promotes individual professional growth and development by meeting requirements for mandatory/continuing education and skills competency; supports department-based goals which contribute to the success of the organization; serves as preceptor, mentor and resource to less experienced staff. * Demonstrates commitment to caring for every member of our community by creating compassionate and personalized experiences. Models Memorial Hermann’s service standards by providing safe, caring, personalized and efficient experiences to patients and colleagues. * Other duties as assigned.

Lead Data Scientist (m/w/d)

From $30/yr

Die Coditorei – Shaping the Future of B2B E-Commerce Als Digital-Enabler des Berliner Traditionsunternehmens Obeta treiben wir die Transformation des Großhandels voran. Unser Data-Science-Team ist das Gehirn hinter datengetriebenen Entscheidungen. Wir suchen einen Lead-Data-Scientist, der sowohl Hands-On Projekte umsetzt als auch einen Blick für das größere Ganze hat. Deine Mission als Lead-Data-Scientist: * Eigene Hands-On-Projekte: Du leitest und betreust komplexe Data-Science-Projekte als Individual Contributor * Stakeholder-Schnittstelle: Du übersetzt komplexe Business-Herausforderungen in technologische Lösungen und bewertest Projekte nach Impact und Aufwand * System-Design und Architektur: Du designst und entwickelst die vom Team verwendete Architektur für Pipelines und Services * Mentoring: Du bist Ansprechpartner für deine Kollegen bei technischen Fragen und trägst deine Expertise in das Team Das bringst Du mit: * Track Record: Mehrjährige Erfahrung in der Umsetzung von Data-Science-Projekten * Coding-Skills: Python mit gängigen Machine-Learning-Bibliotheken * Business-Verständnis: Gutes Verständnis von wirtschaftlichen Prozessen * Soft-Skills: Starke Kommunikationsfähigkeit * Sprachniveau: Verhandlungssicheres Deutsch (C1/C2) und fließendes Englisch Das wäre ein Bonus: * Erfahrungen in Experimentation und Decision-Science * Erfahrung im Großhandel Warum Die Coditorei? * Impact: Du bist kein Rädchen im Getriebe, sondern Architekt der digitalen Transformation eines Marktführers. * Autonomie: Maximale Entscheidungsfreiheit bei der Wahl deiner Tools und Lösungswege. * Flexibilität: State-of-the-art Hardware (nach Wahl), 30 Tage Urlaub sowie echte Vertrauensarbeitszeit und Home-Office-Optionen. * Stabilität \& Dynamik: Die Sicherheit eines etablierten Konzerns gepaart mit der Agilität eines Tech-Hubs. Kontakt Bereit, den B2B-Handel neu zu definieren? Wir freuen uns auf Deine Bewerbung unter Angabe Deiner Gehaltsvorstellung und Deines frühestmöglichen Eintrittstermins. Deine Personalentwicklung Ansprechpartner: Die Coditorei GmbH Herr Sebastian Kall Wilhelmsaue 33 10713 Berlin #supertalent - Wir suchen Dich!

Lead Data Scientist

From $10/yr

Lead Data Scientist In this role, you will leverage advanced statistical techniques, predictive modeling, and practical machine learning to address complex product and business challenges. You will collaborate cross-functionally with Product, Engineering, and Clinical stakeholders to design analytical solutions, assess outcomes, and build scalable data-driven systems that shape both platform capabilities and strategic direction. While the focus is on applied analytics and statistical modeling, exposure to generative AI and large language models is considered a valuable addition. This position is well-suited for a highly analytical professional who enjoys solving meaningful, real-world problems and translating data into actionable outcomes within a healthcare-focused environment. Key Responsibilities * Lead end-to-end analytics initiatives that inform product development, organizational strategy, and clinical use cases * Build and refine predictive models to better understand clinician behavior, engagement trends, and how usage varies across specialties and care environments * Explore and analyze large-scale datasets, including user activity and healthcare-related data, to identify trends, insights, and improvement opportunities * Develop scalable data infrastructure, including pipelines, workflows, and reporting tools, to support ongoing growth and decision-making * Collaborate closely with cross-functional teams to transform analytical insights into product features and measurable business outcomes * Design and manage experimentation frameworks, including A/B testing, to evaluate and improve product performance * Establish and maintain best practices for data quality, reliability, and reproducibility across analytical work * Present findings and recommendations to senior stakeholders, helping guide strategy and decision-making Qualifications \& Experience * Degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a related quantitative field (Bachelor’s required; advanced degree preferred) * Extensive experience (typically 10+ years) in applied data science, predictive analytics, or statistical modeling, ideally within healthcare or similar data-rich domains * Strong expertise in statistical analysis, machine learning methodologies, and predictive modeling techniques * Proficiency in Python or R and commonly used data science libraries (e.g., pandas, NumPy, scikit-learn, statsmodels) * Advanced SQL skills with experience working on large, complex datasets * Demonstrated experience building, validating, and deploying machine learning models in production environments * Proven ability to design experiments, conduct A/B testing, and interpret results with statistical rigor * Excellent communication skills with the ability to clearly explain technical findings to both technical and non-technical audiences * Experience with BI and data visualization tools (such as Tableau or Looker) to effectively communicate insights * Deep understanding of machine learning approaches including classification, regression, clustering, recommendation systems, and causal inference * Track record of driving data initiatives from concept through execution and influencing product direction * Familiarity with healthcare or life sciences data (e.g., provider behavior, clinical usage data, claims, or decision support systems) is strongly preferred

Senior / Lead Data Scientist – Applied Statistics & Machine Learning – €100,000+

From $100,000/yr

Senior / Lead Data Scientist – Applied Statistics \& Machine Learning – €100,000+ A growing AI engineering consultancy in Frankfurt is hiring a Senior / Lead Data Scientist to help solve complex real-world problems across healthcare, insurance, finance, energy and manufacturing. The most successful people in this team are naturally sceptical. They question the data before the model. They care about statistical rigour. They understand that a surprisingly good result is often the first thing that deserves investigating. You’ll work directly with customers, taking projects from problem definition through to deployment and stakeholder presentation. The work is varied, technically challenging, and focused on delivering outcomes that stand up in production. Why this role stands out * Work on genuinely varied projects across multiple industries * High level of ownership and customer exposure * Strong engineering culture focused on quality over hype * Opportunity to grow into a Lead Data Scientist position What you’ll work on * Predictive analytics and machine learning projects across multiple industries * Statistical analysis of messy, incomplete and real-world datasets * Time series, tabular, text and occasionally image-based data problems * Customer-facing consulting and technical delivery * End-to-end project ownership from discovery through to deployment What they’re looking for * Several years of commercial Data Science or Machine Learning experience * Strong statistical foundations and a genuine understanding of uncertainty, hypothesis testing and model evaluation * Excellent Python skills and experience with modern ML frameworks If you’re the type of Data Scientist who wants to understand the problem before reaching for the algorithm, we’d love to speak with you. Data Science | Machine Learning | Statistics | Python | AWS | Time Series | Predictive Analytics | Applied AI | Consulting | Healthcare | Insurance | Finance | Frankfurt | Hybrid

Analytics Lead Scientist I

From $30/yr

Analytics Lead Scientist I Position Summary: * Work Schedule: Monday – Friday, 8am-4:30pm * 100% on-site Catalent’s Kansas City (KCM) facility is a premier site for integrated drug development, manufacturing, and clinical supply services, supporting a wide range of pharmaceutical and biotech products. With cutting-edge technologies and a collaborative work environment, it offers exciting opportunities for professionals across all functions—from science and engineering to operations and logistics. The Analytics Lead Scientist I works with minimum supervision, conferring with superior on unusual matters. Usually assisted by laboratory technicians/associates. Demonstrates potential for technical proficiency and scientific creativity through broad assignments. Has appreciable latitude for unreviewed action or decision. May be responsible for setting and defining technical objectives and assessing results. Comply with divisional and site Environmental Health and Safety requirements. The Role: * Develop and execute laboratory work plans/schedules independently, using customer milestones and Division/site performance standards and metrics. Sample types include in-process, release or stability. Techniques include HPLC, GC, Karl Fischer, Disintegration, Friability, Hardness, and appearance. Perform method development, validation, and transfer activities. * Independently authors technical documents, such as protocols, test methods, text reports, certificates of analysis, and operating procedures * Review technical documents for accuracy, thoroughness and regulatory compliance * Directs work of technical staff regarding work assignments * Responsible as Technical Lead on multiple projects, with responsibility for project outcome and customer interaction, including developing customer relationships to grow the business * Develop and execute efficiency improvement projects * Identify and recommend business opportunities on a project specific basis * Trains, coaches, or mentors others on technical, person development or business issues * Other duties as assigned The Candidate: * Bachelor's degree in related life science or physical science field with a minimum of 11 years related work experience OR Master's degree in related life science or physical science field with a minimum of 9 years related work experience OR Doctorate Degree in related life science or physical science field with a minimum of 5 years related work experience required. * Hands‑on experience operating HPLC and Karl Fischer (KF) required; experience with GC, ICP-MS and Size exclusion chromatography (SEC) preferred. * Internal expert on data interpretation, applications, instrumentation and theory in at least one area of expertise * Based on broad technical skills and drug development experience, anticipates and identifying unmet customer needs * Propose, evaluate, and assess impact of proposed changes to controlled documents and/or project scope * Leadership skills are expected as well as excellent written and verbal communication skills with internal and external customers * Well organized and ability to handle multiple projects as well as efficient time management * Physical Requirements \& Work Environment: Ability to perform duties including standing constantly, walking and sitting frequently, and lifting, pushing, and pulling up to 40 lbs; requires occasional kneeling and frequent reaching. Work is performed in a manufacturing environment with exposure to noise and vibration, constant exposure to potential hazards, and occasional exposure to temperature changes, humidity, wet conditions, and extreme heat or cold. Why You Should Join Catalent: * Defined career path and annual performance review and feedback process * Diverse, inclusive culture * Positive working environment focusing on continually improving processes to remain innovative * Potential for career growth on an expanding team within an organization dedicated to preserving and bettering lives * 152 hours of PTO + 8 paid holidays * Generous 401K match * Medical, dental and vision benefits effective day one of employment * Tuition Reimbursement - Let us help you finish your degree or start a new degree! Catalent offers rewarding opportunities to further your career! Join the global drug development and delivery leader and help us bring over 7,000 life-saving and life-enhancing products to patients around the world. Catalent is an exciting and growing international company where employees work directly with pharma, biopharma and consumer health companies of all sizes to advance new medicines from early development to clinical trials and to the market. Catalent produces more than 70 billion doses per year, and each one will be used by someone who is counting on us. Join us in making a difference. personal initiative. dynamic pace. meaningful work. Visit Catalent Careers to explore career opportunities. Catalent is an Equal Opportunity Employer, including disability and veterans. If you require reasonable accommodation for any part of the application or hiring process due to a disability, you may submit your request by sending an email, and confirming your request for an accommodation and include the job number, title and location to DisabilityAccommodations@catalent.com. This option is reserved for individuals who require accommodation due to a disability. Information received will be processed by a U.S. Catalent employee and then routed to a local recruiter who will provide assistance to ensure appropriate consideration in the application or hiring process. Notice to Agency and Search Firm Representatives: Catalent Pharma Solutions (Catalent) is not accepting unsolicited resumes from agencies and/or search firms for this job posting. Resumes submitted to any Catalent employee by a third party agency and/or search firm without a valid written \& signed search agreement, will become the sole property of Catalent. No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral. Thank you. Important Security Notice to U.S. Job Seekers: Catalent NEVER asks candidates to provide any type of payment, bank details, photocopies of identification, social security number or other highly sensitive personal information during the offer process, and we NEVER do so via email or social media. If you receive any such request, DO NOT respond— it is a fraudulent request. Please forward such requests to spam@catalent.com for us to investigate with local authorities. California Job Seekers can find our California Job Applicant Notice HERE.

Lead Data Scientist

$170,000 - $218,500/yr

At we make it deliciously simple to eat well and feel good every day. We are guided by a Mediterranean heritage that’s been perfecting how to eat and live for four thousand years. We prioritize authenticity, curiosity, and the pursuit of excellence in everything we do. We are working towards something big, together. We foster a culture built on five core values: * Generosity First, : We lead with kindness. Our best work happens when we act in of others. * Constant Curiosity: We are eager to learn, grow, and explore beyond the obvious. * Act with Agility: We welcome change; it’s the only constant. We embrace, adjust, and adapt. * Passion for Positivity: We greet each day with warmth and possibility. * Collective Ambition: We have high aspirations that are achieved when we work together with a shared purpose. CAVA is looking for a lead data scientist that will help us discover the information hidden in vast amounts of data, help us make smarter decisions, improve productivity and deliver even better guest experiences. To help CAVA establish scalable AI/ML practices and utilization, your focus will be in applying data mining techniques, performing statistical modeling and analysis, machine learning, and building high quality prediction systems integrated with our platforms and applications. The ideal candidate will have a strong background in analytics, with expertise in leveraging Databricks and open source tools to drive actionable insights, optimize operations, and enhance customer experiences. What You’ll Do: * Develop and implement machine learning models and algorithms to support business objectives, including predictive analytics, demand forecasting, and other business tools leveraging data and AI. * Perform data mining and statistical analysis to extract meaningful insights from large, complex datasets, including potential third-party data sets. * Enhance data collection and processing workflows to ensure data accuracy, relevance, and integrity. * Collaborate with cross-functional teams across marketing, operations, and IT to create, validate, and integrate AI/ML solutions into existing platforms and applications. * Create, maintain, monitor models for business uses including, but not limited to labor models, price optimization, menu evaluation, customer segmentation, next-best-action marketing, real estate assessment, etc. * Create automated systems for anomaly detection, performance tracking, and reporting. * Leverage advanced analytics and large language models (LLMs) to provide actionable insights and summarize key business trends. * Design and execute A/B tests and other experiments to validate hypotheses and optimize strategies. * Document model development processes, performance metrics, and findings to ensure transparency and reproducibility. * Processing, cleansing, and verifying the integrity of data used for analysis * Performing ad-hoc analysis and presenting results in a clear manner * Utilize Analytical AI algorithms (e.g., linear regression, decision trees, boosted trees models) to automatically gather insights that will be presented in the commercial reporting solution of the company. * Leverage anomaly detection algorithms (e.g., isolation forest) to identify anomalies within the data and generate alerts for the commercial reporting team. * Oversee the extraction, preparation, and utilization of large datasets required for model training, validation, and implementation, ensuring data quality and relevance. * Maintain comprehensive documentation of AI models and GenAI solutions, their logic, and performance metrics. The Qualifications: * Ability to demonstrate technical expertise with regards to building advance models in support of business functions * Bachelor’s Degree in in Data Science, Computer Science, Statistics, Engineering, or related field (or equivalent experience) * Minimum of 5 years of experience building, designing, and maintaining data science and/or AI projects * Demonstrated expertise in applying advanced statistical and machine learning techniques to real-world problems, such as predictive modeling, natural language processing, computer vision, or recommender systems at scale (preferably in the restaurant vertical) * Demonstrated experiences in relevant fields or industries in Information Retrieval, Machine Learning, NLP, and Query understanding * Experience implementing Machine Learning models and algorithms into production at scale with machine learning algorithms such as classifiers, anomaly detection, and clustering * Demonstrated expertise in managing the entire AI/ML lifecycle, from ideation, data acquisition and model training, to production deployment and monitoring, including developing scalable AI/ML CI/CD solutions. Ability to manage AI/ML projects including success metrics and use of project management tools (e.g. JIRA) * Proficient in using various programming languages and tools for data analysis and machine learning, such as Databricks MLflow (Python, SQL, TensorFlow, PyTorch, or Spark) * Great communication skills, excelling in breaking down intricate AI/ML concepts for a diverse audience. Communicate technical concepts and results effectively to diverse stakeholders, including senior leadership. * Excellent interpersonal and communication skills that can partner with cross-functional teams Physical Requirements: * Ability to maintain stationary position to be able to operate a computer and other office equipment * Must be able to identify, analyze and assess details * For certain positions, must be able to occasionally move or transport items up to 50 pounds * Ability to communicate with others and exchange information accurately and effectively * Constantly positions self and move about to support ordinary restaurant or food production support or office operations, as applicable * Ability to work in a constant state of alertness and in a safe manner What we offer: Competitive salary, plus bonus and long-term incentives\ * Early Wage Access! * Unlimited PTO, paid parental leave, plus paid opportunities to give back to the community * Health, Dental, Vision, Telemedicine, Pet Insurance plus more! * 401k enrollment with CAVA contribution Company-paid STD, LTD, Life and AD\&D coverage for salaried positions\ * Free CAVA food * Casual work environment * The opportunity to be on the ground floor of a rapidly growing brand * All exempt and non-exempt employees are eligible for benefits. Benefits are effective on the 1st of the month following 30 days of service, and you have until the day before the effective date to enroll. A new hire can enroll in our benefit program by selecting a link that is emailed directly to the new hire at their personal email address once hired * The compensation range posted includes total cash Indicates qualifying eligible positions only* CAVA – Joining “A culture, not a concept” This job description is not intended to be a comprehensive list of all the duties and responsibilities of the position, and such duties and responsibilities may change without notice. As an equal opportunity employer, CAVA considers applicants for all positions without regard to race, color, sex, religion, national origin, disability, age, height, weight, marital status, sexual orientation, familial status, genetic information or any other characteristic or protected classes as defined by federal, state, or local law. INDHEADOFFICE

Lead Marketing Data Scientist

From $401/yr

About One Park Financial One Park Financial is a leading fintech company empowering small and medium-sized businesses across the United States with fast, flexible access to working capital. Operating in a high-growth, performance-driven environment, we leverage data, technology, and an entrepreneurial culture to connect business owners with the funding solutions they need to thrive. Position Overview We are looking for a Lead Marketing Data Scientist to architect, streamline, and optimize the data flows that connect our marketing platforms to our core business metrics. This role sits at the intersection of marketing, data engineering, and growth strategy, and is responsible for building the analytical foundation that drives smarter media investment decisions across the organization. The Lead Marketing Data Scientist will own end-to-end Marketing Mix Modeling (MMM), incrementality testing, geo-lift experimentation, and scenario analysis frameworks. The insights produced will directly influence how One Park Financial allocates millions in marketing spend, with the ultimate goal of driving and surpassing revenue, funding volume, and customer acquisition targets. This is a high-impact, high-visibility role for a senior practitioner who thrives in fast-paced, data-rich environments and is energized by translating impression- and click-level signals into business outcomes. Key Responsibilities Data Architecture \& Integration Design, streamline, and integrate data pipelines between marketing platforms (Google Ads, Meta, TikTok, LinkedIn, programmatic DSPs, affiliate networks, CRM, call tracking) and the business data warehouse. Build and maintain a unified marketing data layer that connects impressions, clicks, and engagement signals to downstream conversion, funding, and revenue events. Partner with Data Engineering to define schemas, ingestion patterns, and data quality standards that ensure trusted, decision-grade marketing data. Continuously identify and eliminate gaps, latency, and inconsistencies between platform-reported metrics and business outcomes. Marketing Mix Modeling \& Scenario Analysis* Develop, productionize, and own the company’s Marketing Mix Modeling (MMM) framework across paid, owned, and earned channels. * Run scenario analyses and budget optimization simulations to recommend optimal media mix under varying spend, seasonality, and macroeconomic conditions. * Quantify diminishing returns, saturation curves, carryover effects, and channel interactions to inform short- and long-term planning. * Translate model outputs into clear, actionable recommendations for marketing leadership and the executive team. Incrementality, Geo-Lift \& Experimentation* Design and execute geo-lift studies, holdout tests, and matched-market experiments to measure true incremental impact by channel and campaign. * Establish a rigorous experimentation roadmap and testing cadence across the media portfolio, including paid social, paid search, display, CTV, audio, and direct mail. * Reconcile platform-attributed performance with incrementality results, and educate stakeholders on the difference between correlation and causal impact. Performance Insights \& Business Impact* Correlate impression- and click-level signals with funded loans, revenue, LTV, and other core business KPIs. * Build self-serve dashboards and analytical products that help the marketing organization make confident, data-driven media mix decisions. * Surface growth opportunities, efficiency gains, and underperforming investments through proactive analysis and storytelling. * Set and track measurement standards, attribution conventions, and success metrics across the marketing organization. Leadership \& Cross-Functional Partnership* Serve as the technical and analytical thought leader for marketing measurement across the company. * Partner closely with Performance Marketing, Brand, Finance, Product, and Data Engineering teams to align measurement with business strategy. * Mentor analysts and junior data scientists, and help shape the long-term marketing analytics roadmap and team structure. * Communicate complex statistical concepts and trade-offs clearly to non-technical executives and channel owners. Requirements * 7+ years of experience in data science, marketing analytics, or quantitative marketing, with at least 3 years focused on performance marketing measurement. * Experience working with AWS in Cloud data platform. * AI/ML based LTV prediction experience to build predictive models that help achieve business outcomes. * Proven track record of building and deploying Marketing Mix Models (MMM): Bayesian (e.g., Robyn, Meridian, LightweightMMM, PyMC) or frequentist in production environments. * Hands-on experience designing and analyzing incrementality tests, geo-lift studies, and causal inference experiments (synthetic control, difference-in-differences, uplift modeling). * Strong programming skills in Python (pandas, NumPy, scikit-learn, statsmodels, PyMC / Stan) and SQL; comfortable working with large-scale datasets. * Deep, hands-on experience with at least one major cloud data platform (Snowflake, BigQuery, Databricks, Redshift) and modern data stack tooling (dbt, Airflow, Fivetran, or equivalent). * Strong working knowledge of digital media and performance platforms including Google Ads, Meta Ads, programmatic DSPs, affiliate platforms, call tracking, and attribution tools. * Experience operating in a SaaS, fintech, financial services, or other fast-paced, high-growth, performance-driven environment. * Excellent communication and storytelling skills with the ability to influence senior stakeholders and translate analytics into business action. * Bachelor’s degree in a quantitative discipline (Statistics, Economics, Mathematics, Computer Science, Engineering, or related field). * Preferred Qualifications* Master’s or Ph.D. in Statistics, Econometrics, Data Science, or related quantitative field. * Experience in financial services, lending, small business finance, or other regulated industries. * Familiarity with privacy-aware measurement approaches (data clean rooms, conversion APIs, server-side tracking, MMM in a post-cookie world). * Experience integrating LTV, retention, and unit-economics models into marketing measurement frameworks. * Exposure to visualization tools such as Looker, Tableau, Power BI, or Streamlit for analytical product delivery. * Prior experience leading or mentoring a team of analysts or data scientists. Benefits What We Offer* Competitive base salary plus performance-based bonus. * Comprehensive health, dental, and vision insurance. * 401(k) plan with company match. * Hybrid / flexible work environment. * High-visibility role with direct impact on company strategy and growth. * Collaborative, entrepreneurial culture with significant opportunity for career advancement. Equal Opportunity One Park Financial is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Lead Data Scientist

From $198/yr

Lead Data Scientist At B\&A, we foster and embrace a distinct set of values that we live by and instill in all aspects of our organization: dedication, commitment, partnership, trust, and recognition. We have incorporated these values into successful delivery for our customers since 1988. B\&A believes in ensuring its employees feel deeply connected to B\&A, recognizing successes and hard work, and providing continuous opportunities to learn and grow. Our people are entrepreneurial thinkers that combine mindset, vision, and experience to drive value – not only to us as an organization, but to the clients we support. We promote a collaborative culture with our clients, and with each other, as one team working towards a common vision. We’d love for you to join our team! Job Summary We are seeking a Subject Matter Expert (SME)–level Lead Data Scientist to leverage cutting-edge techniques to extract insights and patterns from large and complex datasets for the U.S. Census Bureau’s Decennial Transformation and Application Modernization (DTAM) effort. This role provides technical and management leadership on major advanced data science assignments, developing advanced algorithms, models, and frameworks using machine learning, deep learning, natural language processing, and generative AI / large language models. The Lead Data Scientist ensures AI/ML products are safe, trustworthy, explainable, and compliant with the NIST AI Framework and Census Bureau policies. Decision-making and domain knowledge may have a critical impact on overall program implementation. May supervise others. Responsibilities * Develop advanced algorithms, models, and frameworks leveraging machine learning, deep learning, neural networks, natural language processing, and generative AI / large language models (LLMs) * Manage all activities to align with current advanced analytics and data science standards as defined by Decennial, the USCB, and industry best practices * Support the transition of advanced analytics and data science capabilities from pilot to production and maintain them in the production environment * Develop descriptive and predictive models for survey efforts, including time series, anomaly detection, semi-supervised, active, and reinforcement learning frameworks * Conduct data cleaning, filtering, transformation, and feature engineering to create machine-learning-ready datasets * Create, maintain, and use synthetic data to support the full lifecycle of advanced data science * Follow AI regulation and ethical principles in accordance with the NIST AI Framework to manage AI risk and ensure model trustworthiness * Ensure AI products are safe, secure, explainable, interpretable, privacy-enhanced, fair, valid, reliable, accountable, and transparent * Develop, document, and test prototypes and proofs-of-concept leveraging advanced data science * Evaluate trained models with multiple performance metrics, appropriate test sets, and learning curves * Develop and maintain data science documentation, including analysis plans, technical reports, user manuals, and best-practice templates Education and Experience * PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field — mandatory * 15+ years of experience providing technical and management leadership on major data science assignments (SME level) Required Skills * Expert proficiency in Python, R, SAS, and SQL and associated data science libraries and tools * Demonstrated experience developing and operationalizing ML, deep learning, NLP, and generative AI / LLM models * Strong background in predictive modeling, time series analysis, anomaly detection, and feature engineering * Experience creating and using synthetic data and privacy-preserving data techniques * Working knowledge of the NIST AI Framework and responsible/ethical AI practices Desired Skills * Experience transitioning data science capabilities from pilot to production (MLOps / LLMOps) * Familiarity with differential privacy, federated learning, and secure multi-party computation * Experience with large-scale federal statistical or survey data programs * Excellent written and verbal communication skills, including manuscript preparation and executive briefing to senior Government stakeholders Security Clearance * U.S. Citizenship required More About B\&A: Notable Clients B\&A has grown to be a company that is trusted by our clients for exceptional service, innovative solutions, and inspired employees. Our service extends through federal, state, and local Government, the private sector, and higher education. Some of our notable clients include Department of Homeland Security, U.S. Customs and Border Protection, U.S. Senate, U.S. Courts, U.S. Census Bureau, U.S. Navy, and more. Benefits and Programs B\&A is proud to offer three robust individual and family medical plans to full time employees, including a Health Savings Account (HSA) option as well as two tiers of dental coverage, vision, life \& AD\&D, disability, accident, hospital indemnity, and critical illness insurance. In addition to these benefits, B\&A employees enjoy paid time off, B\&A sponsored trainings and certifications, pet insurance benefits, commuter transit benefits and a free subscription to a virtual exercise platform (NEOU). B\&A’s 401(k) plan is available to all employees and includes a company matching contribution. B\&A has launched several programs to focus on employee engagement, wellness, and assistance. These include: * The B\&A Cares program: 30/60/90-day wellness check ins, personal development, financial management, and stress management seminars, and more * A formal mentorship program * Job shadowing and cross training opportunities * Brand Ambassador program * Employee Assistance Program (EAP) - Access to various support resources to include counseling, legal guidance, financial planning, and more * Monthly teambuilding events * B\&A Annual Wellness Challenges: #StepWithB\&A, #WalkDuringLunchWithB\&A, #VolunteeringWithB\&A, #ExerciseDuringLunchWithB\&A, and more At B\&A, we place significant importance on improving the communities and lives of citizens across the nation through our involvement, technology expertise, and employees. B\&A puts an emphasis on charitable efforts in the Northern Virginia area, including Capital Area Food Bank pantry drives, book donations, Hope for Henry Foundation events, and many more. In recognition of all these efforts, B\&A has been named a Companies as Responsive Employers (CARE) award recipient by Northern Virginia Family Services and nominated by the Northern Virginia Chamber of Commerce for Outstanding Corporate Citizenship Award. EEO B\&A provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. B\&A complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy covers conduct occurring at B\&A’s offices, and other workplaces (including client sites) and all other locations where B\&A is providing services, and to all work-related activities. EEO is the Law B\&A participates in e-Verify. We provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee’s I-9 Form to confirm work authorization.

Blockchain Data Wizard, Analyst or Scientist

From $140/yr

The 4 biggest blockchain strengths are also its weakness Permissionless nature leads to fragmentation of meaning Decentralization leads to too many standards Immutability leads to exponential data + query infrastructure complexity Neutrality means that no one is accountable for interpretations Blockchain data is public. It is not usable at institutional scale. Despite being open, blockchain data is fragmented, hard to interpret, and painful to maintain. Even a simple question like “Who are the largest Ethereum token holders over time?” can require running nodes, ingesting full chain history, decoding contracts, cleaning edge cases, and writing complex SQL. Blockchains are optimized for writes, not reads. They are built for consensus and execution, not searchability, standardization, or financial interpretation. Blockchains are computers, not databases . Every protocol defines its own schema. The same economic action can be encoded in dozens of different ways. The result: Fragmented standards Exponential complexity No accountability for interpretation Events without economic meaning Finance cannot operate on that, it needs an effective system of record . Allium is building the System of Record for Onchain Finance Allium ingests, verifies, and standardizes data across 140+ blockchains and 30+ petabytes of history. We close four structural gaps that prevent blockchains from becoming systems of record: Semantic Gap: Translating raw events into financial concepts like payments, trades, deposits, and staking income Standardization Gap: Mapping thousands of protocols into a single canonical cross chain schema Infrastructure Gap: Read optimized, globally distributed data at web scale Accountability Gap: Auditable methodology, SLAs, and SOC 1 and 2 compliance The result is a neutral, canonical data layer institutions can build on with confidence. Finance is moving onchain Stablecoins, tokenized assets, trading, staking, and lending are growing rapidly. Institutions need a trusted source of truth for onchain financial activity, just as they rely on Bloomberg or DTCC in traditional markets. Raw blockchains cannot serve that role. As AI agents begin transacting autonomously , the requirement becomes even stricter. Agents cannot reason over raw event logs. They need structured data, attribution, condition checks, and auditability. Allium is the read layer that makes onchain finance usable for humans and machines. Who We Serve Allium powers three core personas with the same canonical data foundation: 1. Finance, Accounting, and Risk Teams They need reliable, audit grade answers. They rely on Allium for financial reporting, reconciliation, compliance, risk monitoring, and defensible metrics that can stand up to auditors and regulators. 2. Engineers and Product Teams They need low latency, production ready infrastructure. They use Allium to power wallets, trading systems, payment rails, staking infrastructure, and real time applications that cannot break. 3. Strategy, Research, and Executive Teams They need clarity and insight. They use Allium to understand ecosystem economics, market structure, user behavior, competitive dynamics, and where capital is flowing onchain. and of course.. agents 🦞. Our customers and users include Visa, Stripe, G-SIB Banks, Big 4 Accounting firms, BCG, Coinbase, Phantom, Uniswap and cited by the Federal Reserve. About the role At Allium, Blockchain Data Wizards are the data architects who transform raw, fragmented on-chain data into elegant, meaningful abstractions that power the world's largest crypto applications. You'll be equal parts detective, data engineer, and protocol researcher—diving deep into blockchain internals, reverse engineering DeFi protocols, and crafting data models that institutions and developers rely on. What you will do Creating Meaningful Data Abstractions Transform messy on-chain data into unified, intuitive data models (e.g dex.trades , lending.liquidations ) that work across verticals and protocols, providing users with granular, reliable insights. Reverse Engineer DeFi Protocol Mechanics Dive deep into the mechanics of new DeFi protocols, dissect smart contract interactions and on-chain events, extract the data that matters, and transform it into clean, production-ready models using SQL/dbt. Indexing New Blockchains Dive into a blockchain’s raw data structures, ensure complete and accurate data capture, and design schemas that translate native blockchain data into reliable internal models, becoming the trusted source of truth for that ecosystem. Building Metrics & Filtering Noise Design and create metrics people can actually use - volumes, fees, TVL, and user activity, and filter out noise like wash trades, bots, and Sybil attacks. Make it easy for the industry to see what’s real and what matters. Qualities Sherlock & Enola Holmes-Level Curiosity You find peculiarities in data that others miss. You question assumptions, dig deeper when something looks off, and help the industry redefine narratives with evidence-based insights. Product-Minded Data Design You don't just build tables—you design data products. You think about query patterns, performance, documentation, and how end users will interact with your models. Comfortable with Ambiguity New blockchains and protocols have sparse documentation. You thrive when you need to figure things out yourself through exploration and experimentation. SQL/dbt Mastery You can write elegant, performant SQL transformations that process large volumes of data. You understand incremental models, macros, and how to build maintainable data pipelines at scale. Allium's Data Wizards in Action Co-developing methodology to identify organic and meaningful stablecoin activity, powering Visa's Stablecoin Dashboard Reconstructing Bitcoin Ordinals data to power research work Sybil Detection for Wormhole's Token Launch Powering Brevan Howard Digital's stablecoin industry reports Design chain level metrics (Fees, Activity..) for all chains Don't take our word for it, what our customers say about us ( https://www.allium.so/blog#love) What some ~cool people have to say about us: The Information's Top 50 Startups ( https://www.allium.so/post/allium-named-to-the-informations-50-most-promising-startups-of-2025 ) Mario Gabriele from The Generalist's Future 50 Startup List: https://www.allium.so/post/allium-named-awardee-of-the-generalists-inaugural-future-50-startups Tomasz Tungus from Theory Ventures: https://tomtunguz.com/allium/ Bucky Moore from Kleiner Perkins: https://www.kleinerperkins.com/perspectives/allium-series-a/ Ok.. now for some tough love, here are the values we strive for at Allium: Obsessiveness - The best people at Allium cannot put a problem down once they pick it up. We care more about the work than is strictly rational. Institutions trust us because our data is right. Right means caring about the small things. The decoded contract that ships with one wrong field. The label that is 99% accurate but wrong on the address that matters. The query that runs in 4 seconds when it should run in 400 milliseconds. Most companies tolerate these. We do not. Obsessiveness shows up as depth of care. It is not measured in hours worked or visible effort. You should feel something physical when work ships half-right. That instinct is what we hire for. Pro Athlete Mindset - Consistency. Day in and day out, in pursuit of excellence. A win yesterday does not guarantee (or even imply!) a win tomorrow. I hope anyone who supports a failing sports team will feel the pain ( cough Man United fan s) of inconsistency Figure It Out & Extreme Ownership - Every day is unexplored territory. There are new engineering frameworks, new legal docs, new compliance, new sales, new regulations, and new operational procedures every single day. If you don’t know it, learn it. If you can’t learn it, find someone or a product that does it. If you can’t find someone, find someone who can find someone. It is never lack of resources, but lack of resourcefulness. High Agency - (One of) the highest commonality between all successful people is their responsiveness, most successful billionaire CEOs still reply to emails within minutes (within working hours). And when you reply, respond fast with effective solutions - and even better, resolutions. If you’re looking for a superpower, you can’t go wrong with responsiveness. Well of course this doesn't make sense when you're an engineer coding in flow, but in general high agency of problem solving gets one very far in life Leading from the Front - No one is going to listen (and adopt) your suggestion unless you lead by example. It’s one thing to say We need to do XYZ this better & it’s another thing to build an MVP and say “This is the way we should do things”. The proof of work and momentum goes a long way. Strong Opinions On the Future (loosely held) It is okay to be wrong, but what is not okay is not to have an idea of how a better future should be. Alliumites take pride in trying to improving everything about the company all the time. Sense of (allium) business smell - There are number of folks who live to eat at Allium, but the Allium smell we are talking about is that we love folks who naturally want to know why and how the work they are doing builds leverage for their teammates and also relates to the business goals About the team We invite people of all backgrounds ( https://www.allium.so/about ). We have engineers who learnt coding much later in life, who learnt coding on the side, we have engineers who are still in school and we also have engineers who went to the top schools (CMU, Stanford, UIUC, UPenn, Oxford, NUS, Cornell), all are welcome if one comes in with a curious mind and an infectious work ethic. Administrative Benefits Medical, Dental, Vision, Life and AD&D insurance - US folks get 100% coverage for Gold plans, 80% for dependents Ownership - Meaningful early-stage equity. Every full-time employee receives a stock option grant so you can share directly in Allium's upside Time off - Flexible, trust-based paid time off. We encourage people to take the rest they need. In every country we hire, our policies meet or exceed local statutory vacation requirements Retirement - Company sponsored 401(k) plan in US so you can save pre-tax for the long term Note: The sun never sets on Allium - we hire from any geographical location as long as you are willing to overlap 2 hours overlap on NYC mornings Mon-Thurs from 10am-12pm ET. We have people based in New York, Seattle, Singapore and Australia All applicants have to answer this pop quiz: " What is an Allium? What is your favorite Allium? ". Bonus points for the right pronunciation.

Blockchain Data Wizard, Analyst or Scientist

Scientist

From $500/yr

Job Description * Looking for a highly motivated scientist to join our Novel Modality Biology group in Discovery Research Immunology located in Cambridge, MA. * The position offers a unique opportunity for a talented scientist to work in a dynamic, innovative, and multi-disciplinary environment to develop their career at the interface of basic research and early drug discovery. * They will support the characterization of multi specific biologics for our discovery portfolio programs. * Responsibilities include planning, conducting, and analyzing in vitro assays as well as presenting data findings to explore key biological questions related to Immunological diseases. Qualifications * Bachelor's degree or master's degree in Biological Science or related field with 2-3 years of job related experience. * Motivated to execute well-thought and well-planned in vitro experiments using multi specific biologics. * Proficient in carrying out ELISA/MSD to quantitate pro-inflammatory proteins. * Basic cell biology and biochemical skills: Tissue culture, Transfection, Cell line generation, SDS-PAGE, Immunoprecipitation, Western blotting, qPCR, etc. * Experience in in vitro human cell culture including various types of immune cells, and cell-based assay development is required. * Proficient in isolating immune cells from human blood and tissues. * Hands-on experience in multi-color flow cytometry both operating flow cytometers and analyzing data using analytical software such as FlowJo is required. * Experience in biologic screening in human cells is preferred. * Able to independently maintain detailed and organized laboratory notebook accurately documenting experiment methods and results * In vitro cell culture * Multicolor flow cytometry * Understanding of human immunology, especially fundamental T cell biology * Excellent record keeping skills * Proficient in basic laboratory techniques including experience with primary human cells. * Excellent technical, written and oral communication skills and work very well in a collaborative team environment. Benefits Healthcare Insurance: Synectics offers eligible employees and their dependents healthcare coverage through BlueCross BlueShield of Illinois. Eligibility begins on the 1st day of the calendar month following 60 days of continuous full time employment with Synectics. Premiums are subsidized by Synectics. Dental Insurance: Synectics offers eligible employees and their dependents a dental plan through MetLife. Eligibility begins on the 1st day of the calendar month following 60 days of continuous full time employment with Synectics. Vision Insurance: Synectics offers eligible employees vision insurance through VSP. Eligibility begins on the 1st day of the calendar month following 60 days of continuous full time employment with Synectics.401(k) Plan: The Synectics Inc. Investment Savings Retirement Plan. Synectics offers all employees who are 21 years of age or older the opportunity to invest in the 401(k) Plan on the first enrollment date that is at least 30 days after employment begins. Enrollment dates are each January 1st, April 1st, July 1st, and October 1st. Technical Certification Bonus: Synectics is pleased to award its employees a bonus of up to $500 for an approved professional certification. In determining the bonus amount, Synectics will consider the cost of the test(s) for any certification relating to your current position, achieved during your employment with us. Only one Certification Bonus per calendar year may be awarded per employee. Only current, active employees will be eligible to receive this bonus. It will be awarded 90 days after the Synectics office has received documentation confirming the successful completion of the certification. Synectics is an equal opportunity employer.

Associate Scientist, Protein Characterization

$103,000 - $131,000/yr

At Insmed, every moment and every patient counts — and so does every person who joins in. As a global biopharmaceutical company dedicated to transforming the lives of patients with serious and rare diseases, you’ll be part of a community that prioritizes the human experience, celebrates curiosity, and values every person’s contributions to meaningful progress. That commitment has earned us recognition as Science magazine’s No. 1 Top Employer for five consecutive years, certification as a Great Place to Work® in the U.S., and a place on The Sunday Times Best Places to Work list in the UK. For patients, for each other, and for the future of science, we’re in. Are you? About the Role: We’re looking for an Associate Scientist, Protein Characterization on the Biotherapeutics Characterization and Formulation team to help us expand what’s possible for patients with serious diseases. Reporting to the Senior Director, Research, you’ll play a critical part in supporting Insmed’s innovative biologics pipeline from early discovery through development candidate nomination. What You'll Do: In this role, you’ll have the opportunity as part of a cross-functional team, support the formulation and characterization efforts for biotherapeutic drug product discovery and development across different therapeutic areas. You’ll also: * Perform protein analytical techniques to inform on optimization of formulation and process to support development candidate nomination. * Apply standard procedures to assess biotherapeutic stability as a function of formulation and process and facilitate tech transfer activities. Who You Are: You have a Bachelor’s degree in Biochemistry, Biotechnology, Chemical Engineering, Bioengineering, Pharmaceutical Sciences or a related field along with 4+ years of relevant hands-on experience or Master’s degree with 3+ years of experience. You are or you also have: * Solid understanding of protein biotherapeutics, with an emphasis on stability and formulation challenges * Experience analyzing protein molecules by standard analytical and/or biophysical techniques * Desire to expand knowledge in advanced analytical and biophysical techniques to characterize proteins including light scattering (e.g., DLS, SEC-MALS, batch MALS), circular dichroism, fluorescence, Amide IFTIR, thermal stability (DSC), and sub-visible particle analysis * Familiarity with experiment documentation using electronic lab notebook * Experience working on successful teams and programs * Strong written and oral communication skills are required * Applicants should be detail-oriented, highly organized, and able to multi-task with multiple projects * Must successfully exhibit Insmed’s five (5) core values of Collaboration, Accountability, Passion, Respect, and Integrity along with any other position specific competencies * Individuals must demonstrate the ability to interact successfully in a dynamic and culturally diverse workplace Nice to have (but not required): * Experience using automated chromatography workstations (e.g., AKTA FPLCs) and employing multi-dimensional purification strategies is a plus. * A record of scientific publication employing the skills listed above is a plus. Where You’ll Work This role is based out of our Bridgewater, NJ office and requires full-time, in-person presence to support hands-on collaboration, access specialized equipment, and/or operational needs. Travel Requirements Minimal travel expected Pay Range: $103,000.00-131,000.00 Annual Life at Insmed At Insmed, you’ll find a culture as human as our mission—intentionally designed for the people behind it. You deserve a workplace that reflects the same care you bring to your work each day, with support for how you work, how you grow, and how you show up for patients, your team, and yourself. Highlights of our U.S. offerings include: * Comprehensive medical, dental, and vision coverage and mental health support, annual wellbeing reimbursement, and access to our Employee Assistance Program (EAP) * Generous paid time off policies, fertility and family-forming benefits, caregiver support, and flexible work schedules with purposeful in-person collaboration * 401(k) plan with a competitive company match, annual equity awards, and participation in our Employee Stock Purchase Plan (ESPP), and company-paid life and disability insurance * Company Learning Institute providing access to LinkedIn Learning, skill building workshops, leadership programs, mentorship connections, and networking opportunities * Employee resource groups, service and recognition programs, and meaningful opportunities to connect, volunteer, and give back Eligibility for specific programs may vary and is subject to the terms and conditions of each plan. Current Insmed Employees: Please apply via the Jobs Hub in Workday. Insmed Incorporated is an Equal Opportunity employer. We do not discriminate in hiring on the basis of physical or mental disability, protected veteran status, or any other characteristic protected by federal, state, or local law. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Unsolicited resumes from agencies should not be forwarded to Insmed. Insmed will not be responsible for any fees arising from the use of resumes through this source. Insmed will only pay a fee to agencies if a formal agreement between Insmed and the agency has been established. The Human Resources department is responsible for all recruitment activities; please contact us directly to be considered for a formal agreement. Insmed is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, please contact us by email at TotalRewards@insmed.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Applications are accepted for 5 calendar days from the date posted or until the position is filled. For New York City Residents: To assist in identifying candidates with qualifications matching those required and/or preferred for this role, Insmed uses an Automated Employment Decision Tool (“AEDT”) that employs artificial intelligence to analyze and score information provided in resumes and application materials including, but not limited to, skills, work experience, education, and job-related qualifications. The AEDT does not make final hiring decisions and all final hiring decisions are subject to human oversight and/or review. If you are an applicant for this role and a New York City resident, you have the right to request: A reasonable accommodation, if one is available under applicable law, by emailing TotalRewards@insmed.com ; and/or* An alternative selection process by emailing Privacy@insmed.com .* Information about the type of data collected, the source of that data, and data retention practices related to the AEDT by emailing us at Privacy@insmed.com .*

Scientist I

From $74,880/yr

Target PR Range: 26-36/hr * Depending on experience Job Description We are looking for a highly motivated scientist to join our Novel Modality Biology group in Discovery Research Immunology located in Cambridge, MA. The position offers a unique opportunity for a talented scientist to work in a dynamic, innovative, and multi-disciplinary environment to develop their career at the interface of basic research and early drug discovery. They will support the characterization of multi specific biologics for our discovery portfolio programs. Responsibilities include planning, conducting, and analyzing in vitro assays as well as presenting data findings to explore key biological questions related to Immunological diseases. The position requires ability to work independently, have excellent technical, written and oral communication skills and work very well in a collaborative team environment. The candidate should be proficient in basic laboratory techniques including experience with primary human cells. Qualifications And Requirements * The applicant must have a bachelor’s degree or master’s degree in Biological Science or related field with 2-3 years of job related experience. * Motivated to execute well-thought and well-planned in vitro experiments using multi specific biologics. * Proficient in carrying out ELISA/MSD to quantitate pro-inflammatory proteins. * Basic cell biology and biochemical skills: Tissue culture, Transfection, Cell line generation, SDS-PAGE, Immunoprecipitation, Western blotting, qPCR, etc. * Experience in in vitro human cell culture including various types of immune cells, and cell-based assay development is required. * Proficient in isolating immune cells from human blood and tissues. * Hands-on experience in multi-color flow cytometry both operating flow cytometers and analyzing data using analytical software such as FlowJo is required. * Experience in biologic screening in human cells is preferred. * Able to independently maintain detailed and organized laboratory notebook accurately documenting experiment methods and results

Scientist - Biologics Research

$103,000 - $131,000/yr

At Insmed, every moment and every patient counts — and so does every person who joins in. As a global biopharmaceutical company dedicated to transforming the lives of patients with serious and rare diseases, you’ll be part of a community that prioritizes the human experience, celebrates curiosity, and values every person’s contributions to meaningful progress. That commitment has earned us recognition as Science magazine’s No. 1 Top Employer for five consecutive years, certification as a Great Place to Work® in the U.S., and a place on The Sunday Times Best Places to Work list in the UK. For patients, for each other, and for the future of science, we’re in. Are you? About the Role: We’re looking for a Scientist, Biologics Research on the Biologics Research team to help us expand what’s possible for patients with serious diseases. Reporting to the Sr Director, Research, you’ll work within a multidisciplinary team of scientists focused on the design, engineering, formulation development, and preclinical characterization of ground-breaking biotherapeutics. Specifically, you will help lead engineering and optimization campaigns for a diverse array of biomolecular scaffolds including enzymes, catalysts, binding and targeting moieties, signaling molecules, and drug delivery platforms of biological origin. What You'll Do: In this role, you’ll have the opportunity to support discovery and development campaigns focused on next-generation biotherapies for serious unmet medical needs. You’ll also: * Help drive biomolecular engineering, immunology, and pharmacology efforts within Insmed research projects, including strategy and methods development * Construct recombinant systems encoding protein variants and combinatorial protein libraries * Conceptualize, construct, validate, and implement high throughput screening platforms to enable candidate selection from large panels and/or combinatorial libraries of engineered protein variants * Devise, optimize, and employ tailored protein expression and purification strategies for drug discovery programs * Develop, validate, and deploy functional, immunological, and pharmacological, assays to characterize protein performance in vitro (both exogenous and cell-based assays) and in vivo * Maintain accurate, detailed, and timely records of methods development, experimental data, and data analysis in an electronic notebook system * Perform data review to ensure accuracy, completeness, and validity * Participate in cross-disciplinary mentoring and training within the research team * Present scientific results to the larger Insmed research group and external scientific community, as needed Who You Are: You have a PhD in molecular and cellular biology, bioengineering, biochemistry, immunology, microbiology or related fields. You are or you also have: * Deep technical understanding of and hands-on experience with molecular and cellular biology, mammalian tissue culture, recombinant DNA technology, protein mutagenesis, and protein biochemistry * Experience with recombinant protein expression and purification as well as routine protein characterization methods including but not limited to spectroscopy, SDS-PAGE, western blot, and ELISA * Experience with enzyme analysis and characterization and/or protein-protein binding analysis and characterization * Experience with high throughput functional screen development for protein libraries, AAV viral vectors, gene editing, and in vivo (rodent) are also preferred but not required * Must have excellent communication (verbal and written) and problem-solving skills * Highly organized with a strong attention to detail, clarity, accuracy, and conciseness * Proven track record in methods development, including experimental design, execution, and evaluation Where You’ll Work This role is based out of our Lebanon, NH Research Development Lab and requires full-time, in-person presence to support hands-on collaboration, access specialized equipment, and/or operational needs. Travel Requirements Minimal travel expected Pay Range: $103,000.00-131,000.00 Annual Life at Insmed At Insmed, you’ll find a culture as human as our mission—intentionally designed for the people behind it. You deserve a workplace that reflects the same care you bring to your work each day, with support for how you work, how you grow, and how you show up for patients, your team, and yourself. Highlights of our U.S. offerings include: * Comprehensive medical, dental, and vision coverage and mental health support, annual wellbeing reimbursement, and access to our Employee Assistance Program (EAP) * Generous paid time off policies, fertility and family-forming benefits, caregiver support, and flexible work schedules with purposeful in-person collaboration * 401(k) plan with a competitive company match, annual equity awards, and participation in our Employee Stock Purchase Plan (ESPP), and company-paid life and disability insurance * Company Learning Institute providing access to LinkedIn Learning, skill building workshops, leadership programs, mentorship connections, and networking opportunities * Employee resource groups, service and recognition programs, and meaningful opportunities to connect, volunteer, and give back Eligibility for specific programs may vary and is subject to the terms and conditions of each plan. Current Insmed Employees: Please apply via the Jobs Hub in Workday. Insmed Incorporated is an Equal Opportunity employer. We do not discriminate in hiring on the basis of physical or mental disability, protected veteran status, or any other characteristic protected by federal, state, or local law. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Unsolicited resumes from agencies should not be forwarded to Insmed. Insmed will not be responsible for any fees arising from the use of resumes through this source. Insmed will only pay a fee to agencies if a formal agreement between Insmed and the agency has been established. The Human Resources department is responsible for all recruitment activities; please contact us directly to be considered for a formal agreement. Insmed is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, please contact us by email at TotalRewards@insmed.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Applications are accepted for 5 calendar days from the date posted or until the position is filled. For New York City Residents: To assist in identifying candidates with qualifications matching those required and/or preferred for this role, Insmed uses an Automated Employment Decision Tool (“AEDT”) that employs artificial intelligence to analyze and score information provided in resumes and application materials including, but not limited to, skills, work experience, education, and job-related qualifications. The AEDT does not make final hiring decisions and all final hiring decisions are subject to human oversight and/or review. If you are an applicant for this role and a New York City resident, you have the right to request: A reasonable accommodation, if one is available under applicable law, by emailing TotalRewards@insmed.com ; and/or* An alternative selection process by emailing Privacy@insmed.com .* Information about the type of data collected, the source of that data, and data retention practices related to the AEDT by emailing us at Privacy@insmed.com .*

Associate Scientist

From $95,000/yr

Vivodyne creates human data before clinical trials. We accelerate the successful discovery, design, and development of human therapeutics by testing on large, lab-grown human organ tissues at massive scale, driving technological advancement at the convergence of novel biology, robotics, and AI. We identify and validate new therapeutic targets and de-risk new therapeutic assets by producing clinically translatable multi-omic data from our proprietary, physiologically-realistic human organ tissues at unprecedented scale, speed, and quality. This enables us to produce more human data than all clinical trials in the U.S. combined. We’re financially backed by some of the most selective and successful venture funds, and we have already partnered with a majority of the top 10 multinational pharmaceutical companies to discover and develop better, safer drugs and dramatically reduce the burden of animal testing. www.vivodyne.com Role This is a full-time, onsite role in San Francisco. This role is a shifted schedule (Tuesday-Saturday or Sunday-Thursday). You will be an integral member of the Bioengineering team, supporting the development and operation of advanced human tissue models for therapeutic discovery and translational research. This role is ideal for a highly motivated experimental scientist who enjoys working at the intersection of biology, engineering, and automation in a fast-paced R\&D environment. You will work closely with scientists, engineers, roboticists, and software teams to support large-scale tissue culture workflows, execute routine and specialized assays, and help maintain reliable operation of automated tissue culture systems. The ideal candidate is hands-on, adaptable, detail-oriented, and excited to learn new technologies and experimental approaches. This role requires flexibility, strong experimental rigor, and comfort operating in a highly collaborative environment with evolving priorities and workflows. Responsibilities Tissue Culture \& Experimental Support * Support routine expansion, maintenance, and characterization of primary human cell cultures using aseptic technique. * Assist with 3D tissue seeding, maintenance, feeding, harvesting, and downstream processing workflows. * Execute routine molecular and cellular assays including ELISAs, flow cytometry, cell digestions, fixations, staining workflows, and sample preparation. * Support tissue characterization workflows including imaging, cytokine analysis, and functional assays. * Maintain accurate experimental records and documentation using electronic lab notebooks and SOPs. Automation \& Platform Operations * Train as an operator for automated tissue culture and experimental workflows. * Monitor and supervise automated workflows during scheduled operating windows, including occasional non-standard shifts (e.g. evening shifts or one weekend day). * Interface closely with robotics and hardware teams to troubleshoot workflow issues and improve platform reliability. * Assist in validating and optimizing automated protocols for scalability and reproducibility. Cross-Functional Collaboration * Collaborate closely with scientists across bioengineering, biology, automation, and computational teams. * Communicate experimental progress, issues, and observations clearly and proactively. * Contribute to process improvement initiatives and support development of scalable laboratory workflows. * Help maintain laboratory organization, inventory, and operational readiness. Growth \& Development * Learn and adopt new experimental techniques, instrumentation, and automation workflows. * Contribute to a culture of scientific rigor, curiosity, adaptability, and continuous improvement. * Participate in troubleshooting and problem-solving for experimental and operational challenges. Requirements and Expectations Required Qualifications * Bachelor’s degree in bioengineering, biology, physiology, genetics, biochemistry, or a related life sciences field. * 1-3 years of prior experience in industry. * Hands-on experience with sterile mammalian cell culture techniques. * Familiarity with standard wet-lab molecular and cellular biology assays. * Strong organizational skills and attention to detail in experimental execution and documentation. * Comfortable working in a fast-paced, highly collaborative research environment. * Willingness to work flexible schedules as needed to support automated experimental workflows after training is completed. Preferred Experience * Masters degree is a plus. * Experience working with primary human cells and/or 3D cell culture systems such as organoids, spheroids, or organ-on-chip platforms. * Experience with assays such as ELISA, flow cytometry, immunostaining, or fluorescence imaging. * Exposure to automated laboratory systems, liquid handling robotics, or high-throughput workflows is a plus. * Familiarity with laboratory data analysis and visualization tools. What We’re Looking For * Highly motivated and intellectually curious individuals who are excited to learn quickly and take ownership. * Strong experimental instincts and willingness to support a wide variety of laboratory activities. * Someone who thrives in dynamic environments and can adapt as priorities evolve. * Interest in the convergence of biology, automation, robotics, and AI-enabled experimentation. * A collaborative teammate who communicates clearly and works effectively across disciplines. * A practical problem-solver who is dependable, resourceful, and eager to contribute wherever needed. Why Vivodyne? * High-Impact Mission — Play a foundational role in transforming drug discovery through computational biology applied to the richest human tissue datasets in existence. * Method, Not Just Application — You won't just run pipelines. You'll decide what pipelines should exist, whether they're working, and what should replace them. * Multi-Disciplinary Exposure — Work alongside experts in robotics, AI, tissue engineering, and microfluidics in a deeply cross-functional setting. * Growth Opportunities — A fast-growing startup with significant autonomy, ownership, and direct influence over the biological data infrastructure and analytical strategy. Vivodyne, Inc. is an equal opportunity employer. Vivodyne complies with all laws respecting equal employment opportunity and does not discriminate against applicants with regard to any protected characteristic as defined by federal, state, and local law. Compensation will be determined based on several factors including, but not limited to, skill set, years of experience, and the employee’s geographic location. Pay Range{{:}} $95,000 USD - $135,000 USD

In Vivo Scientist

Responsibilities * Study support may include: * Performing or training staff on animal handling. * Compound administration. * Dosing (All routes with an emphasis on intravenous administration in rodents). * Sampling. * Tissue collection. * Animal ordering. * Clinical observations. * Understanding and executing in vivo studies including collaborating with researchers, obtaining formulated diets, monitoring and maintaining equipment. * Assist with perioperative care, provide husbandry oversight on weekends including room checks and emergency facility issues. * In-vivo dosing, bleeding, animal veterinary care and handling of small laboratory animals during a shifted workweek that includes the weekend. * Scientific curiosity, analytical mindset with a drive to own a project to understand biology, mechanism of action and drive it through the discovery pipeline. * Ability to work independently in executing tightly controlled experiments, analyzing data, and presenting to teams. * Effective communicator, having people skills and being able to work as a team player and working effectively in a matrixed environment. Qualifications Education: * Associate degree with 3+ years, or Bachelor’s Degree with 2 or more years of relevant experience in biology and animal sciences, or Master’s Degree with 1 or more year of relevant in vivo experience, in chemical biology, molecular and cellular biology, pharmacology, biology, or other relevant scientific discipline. * Additional years of relevant industry experience (in-vivo experience) is preferred. Required Skills * Experience working with small laboratory animals with hands-on experience in in-vivo dosing, bleeding, tissue collection and handling techniques. * Experience in one or more of the following areas: PK, oncology, cardio metabolic disease and biologics. * The individual will perform experiments in the laboratory with minimal guidance and supervision in the execution of complex in vivo studies to support the pipeline. * The successful candidate will also possess a strong sense of intellectual curiosity to expand their technical expertise, as well as effective written and interpersonal communication skills to collaborate across functional areas. * Ability to work flexibly in a dynamic team environment. * Works independently and is able to simultaneously handle a diverse workload with strong organizational and time management skills. * The ideal candidate should be team oriented, value workplace partnership and can work with minimal to no supervision.

Scientist

From $6/yr

Job details: Job Title: Scientist I Duration: 06 Months Location/Site: Cambridge, MA CRC -100% onsite Job details:- What are the top 3-5 skills, experience or education required for this position:- 1. In vitro cell culture 2. Multicolor flow cytometry 3. Understanding of human immunology, especially fundamental T cell biology 4. Excellent record keeping Job description: We are looking for a highly motivated scientist to join our Novel Modality Biology group in Discovery Research Immunology located in Cambridge, MA. The position offers a unique opportunity for a talented scientist to work in a dynamic, innovative, and multi-disciplinary environment to develop their career at the interface of basic research and early drug discovery. They will support the characterization of multi specific biologics for our discovery portfolio programs. Responsibilities include planning, conducting, and analyzing in vitro assays as well as presenting data findings to explore key biological questions related to Immunological diseases. The position requires ability to work independently, have excellent technical, written and oral communication skills and work very well in a collaborative team environment. The candidate should be proficient in basic laboratory techniques including experience with primary human cells. Qualifications and requirements: • The applicant must have a bachelor’s degree or master’s degree in Biological Science or related field with 2-3 years of job related experience. • Motivated to execute well-thought and well-planned in vitro experiments using multi specific biologics. • Proficient in carrying out ELISA/MSD to quantitate pro-inflammatory proteins. • Basic cell biology and biochemical skills: Tissue culture, Transfection, Cell line generation, SDS-PAGE, Immunoprecipitation, Western blotting, qPCR, etc. • Experience in in vitro human cell culture including various types of immune cells, and cell-based assay development is required. • Proficient in isolating immune cells from human blood and tissues. • Hands-on experience in multi-color flow cytometry both operating flow cytometers and analyzing data using analytical software such as FlowJo is required. • Experience in biologic screening in human cells is preferred. • Able to independently maintain detailed and organized laboratory notebook accurately documenting experiment methods and results EEO: “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans

Statistician (Scientist I)

From $200,000/yr

Forge Your Future With Us At Forge Biologics, we believe in turning bold ideas into life-changing realities. Our mission is simple yet powerful: to enable access to life-changing gene therapies and help bring them from ideas into reality. We partner with scientists, physicians, biotech and pharma innovators, and patient communities — all united by one goal: improving lives. If you’re driven by purpose and excited to make a tangible impact, this is where your journey begins. Our team works out of The Hearth, a state-of-the-art, 200,000-square-foot cGMP facility in Columbus, Ohio. Here, you won’t just watch innovation happen — you’ll be part of it. Whether you’re scaling AAV manufacturing, collaborating on cutting-edge therapies, or supporting complex technical projects, you’ll play a key role in bringing hope to patients with genetic diseases. What sets Forge apart is our culture of H.O.P.E. We are hardworking , showing up each day with determination and grit. We are open , creating a space where ideas flow freely, and every voice is valued. We are purpose-driven , with every task directly tied to changing lives. And we are engaged , energized by the challenges we face and the milestones we achieve together. At Forge, your growth matters. We’re committed to helping you expand your skills, take on new challenges, and develop your career through mentorship, hands-on learning, and opportunities for advancement. Our people are our greatest investment, and we’re proud to see team members grow with us. If you’re ready to use your talent to help deliver hope to patients around the world, join us — and be part of something bigger than yourself. About The Role The Scientist I (Statistics) supports the application of statistical methods to bioanalytical assay development, qualification, and validation activities within the Quality Control and Analytical Development functions. This role applies established statistical approaches to ensure data integrity, regulatory compliance, and accurate interpretation of analytical results. The Scientist I collaborates cross-functionally to support experimental design, data analysis, and documentation, contributing to the advancement of gene therapy programs. What You'll Do * Apply established statistical methods to support development, qualification, and validation of bioanalytical methods (e.g., potency assays, ddPCR workflows) * Perform statistical analyses for assay validation, including linearity, accuracy, precision, and detection limits * Support stability studies through trend analysis, control charting, and regression modeling * Assist in data review, interpretation, and troubleshooting for assay development and optimization activities * Contribute to statistical analysis plans (SAPs), validation protocols, technical reports, and regulatory documentation * Collaborate with cross-functional teams (QC, Analytical Development, Process Development, Regulatory) * Support investigations, deviations, and root cause analyses with statistical input * Assist in developing and maintaining data trending and reporting tools * Ensure compliance with regulatory requirements (e.g., ICH, USP, FDA) * Communicate statistical findings clearly to stakeholders What You'll Bring * Ph.D. in Statistics or related field (or Master’s with relevant experience) * 1–3 years of relevant experience in a biopharmaceutical, biotechnology, or analytical laboratory setting * Experience with statistical software (JMP, SAS, R, Python) * Strong analytical and problem-solving skills * Effective written and verbal communication skills * Ability to work independently within defined frameworks and collaborate across teams Preferred Skills * Familiarity with nucleic acid-based assays (e.g., ddPCR, qPCR) * Experience with protein or cell-based assays (e.g., ELISA, flow cytometry) * Experience in GxP-regulated environments * Exposure to assay validation and stability studies This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned. Work Environment and Physical Demands This position is performed in a temperature-controlled laboratory or office environment and requires regular standing, hand manipulation, and use of laboratory equipment. The role may involve lifting or moving materials up to 25 pounds and occasional reaching or handling at various heights. Appropriate personal protective equipment (PPE) must be worn when working with chemicals, biological materials, or in controlled environments. Forge Biologics is an equal opportunity employer dedicated to building an inclusive and diverse workforce. Forge Biologics, provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We’ve Got You Covered At Forge Biologics, we believe our people deserve to be taken care of – in and out of the workplace. We’ve built a comprehensive compensation and benefits package designed to help you thrive, grow, and feel valued every step of the way: Health from day one * Health, dental and vision insurance start your first day – with 90% of premiums covered for you and your family. Time to recharge * A competitive paid time off plan – because rest fuels innovation. * 12 weeks of fully paid parental leave so you can focus on family when it matters most. Rewarding your impact * Annual bonus opportunities for all full-time team members. * 401(k) with company match to help you plan for the future. * Special employee discounts, including childcare and dependent care savings. Your wellness, supported * Onsite fitness facility at The Hearth. * Mental health counseling and financial planning services through our Employee Assistance Program. * Employer-paid short and long-term disability coverage to protect your peace of mind. Fuel for your workday * A fully stocked kitchen with free snacks and beverages – we keep you energized and ready for what’s next. Grow with us * Ongoing professional development resources, training, and mentorship programs to help you build your care and grow within Forge.

Principal Associate Scientist, DTD

$110,000 - $125,000/yr

Principal Associate Scientist, Discovery \& Translational Development – Solid Biosciences Charlestown, MA Solid Biosciences is a precision genetic medicine company focused on advancing a portfolio of gene therapy candidates targeting rare neuromuscular and cardiac diseases, including Duchenne muscular dystrophy (Duchenne), Friedreich’s ataxia (FA), catecholaminergic polymorphic ventricular tachycardia (CPVT), TNNT2-mediated dilated cardiomyopathy, BAG3-mediated dilated cardiomyopathy, and additional fatal, genetic cardiac diseases. We are advancing a diverse pipeline and delivery platform in the pursuit of uniting experts in science, technology, disease management, and care. Patient-focused and founded by those directly impacted by Duchenne, Solid’s mission is to improve the daily lives of patients living with devastating rare diseases. We are seeking a highly skilled and motivated bench scientist to join the Discovery \& Translational Development team to support our clinical and pre-clinical programs. The ideal candidate will have a strong scientific background in mammalian cell culture, assay development, and molecular biology. Reporting to the Senior Principal Scientist, Scientific Lead, this is an on-site position based out of Solid’s headquarters in Charlestown, MA. Responsibilities Technical Execution * Develop AAV functional potency assays by transfecting, transducing, and/or engineering mammalian cell lines * Develop molecular assays (ddPCR, ProteinSimple Jess) and cell-based assays to assess expression cassettes and AAV potency * Develop ELISA and MSD assays to identify novel biomarkers using patient and nonclinical samples * Support oversight and review or CRO activities * Maintenance of electronic lab notebook (ELN) documenting experimental procedures, materials, reagents, and data * Data Analysis: Independently analyze experimental data accurately and efficiently, drawing valid conclusions. * Lab Maintenance: Ensure proper maintenance of laboratory equipment and ensure a safe working environment. Cross-Functional Support * Collaborative Projects: Participate in projects across different programs, providing expertise where needed. * Knowledge Sharing: Share findings and methodologies with peers to foster a collaborative environment. Provide guidance/mentorship to junior scientists. * Flexibility: Adapt to shifting priorities and contribute to multiple projects as required. Compliance and Quality Assurance * Regulatory Compliance: Conduct all activities in accordance with regulatory guidelines and company policies. * Quality Standards: Ensure all experimental procedures meet quality standards. * Documentation: Maintain accurate and detailed records of all experiments and results. Communication * Reporting: Communicate progress and results to scientific leads and team members regularly. * Team Meetings: Participate actively in team meetings, providing updates and insights. Effective communication and interpretation of complex scientific subjects to all audiences. * Interpersonal Skills: Build positive working relationships within the team and across the organization. Apply learnings from the broader organization as they relate to the project team. Required Qualifications * MS in Biology or related discipline with 5+ years of industry experience or BS with 7+ years of industry experience * Background in Friedreich’s ataxia and mitochondrial biology is preferred * Proficiency with mammalian cell culture, cell line engineering, and/or iPSC differentiation, and experience with transfection or AAV transduction * Proficient in quantitation of DNA, RNA, and protein expression by ddPCR, qPCR, ProteinSimple Jess, ELISA, and MSD * Software proficiency including Geneious, SnapGene, NCBI, BLAST, Ensembl, GraphPad Prism, Benchling, and Microsoft Office Suite * Ability to work independently and collaboratively * Strong organizational, written, and verbal communication skills Compensation The base compensation range for this role is: $110,000 – 125,000 Base salary offered is determined through an internal analysis utilizing a combination of factors including, but not limited to, relevant skills \& experience, job location, and internal equity. Regular employees are eligible to receive both short-term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward individual performance and align incentives to Solid’s long term company performance. Benefits and Solid Advantages At Solid Biosciences we offer a highly competitive total rewards and benefits package, intended to support all aspects of our employees’ lives and well-being. Additionally, for those employees working onsite at our Hood Park Headquarters, we offer a variety of onsite resources to support those working in our offices. * Competitive Health and Dental programs with flexible plan offerings, including FSA and HSA programs * 401(k) program participation with competitive company matched contributions * Eligibility to participate in Solid’s Employee Stock Purchase Plan * Mobile phone subsidy for eligible employees * Tuition Reimbursement * Vision Coverage * Life Insurance * Voluntary Pet Insurance * Employee Discount Program on Travel, Entertainment, and Services * Employee Assistance Programs * Daily Subsidized Lunch Delivery (onsite @ Hood Park) * Free Onsite Full-Service Gym (onsite @ Hood Park) * Employee Parking (onsite @ Hood Park) * 12 Observed Holidays and a winter shut down * 15-day PTO Policy and an 80-hour rollover YoY * 40-hour Sick Policy * 8 Hour Floating Holiday

Scientist, Chemistry and Raw Materials

$70,000 - $80,000/yr

Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Cytiva, one of Danaher’s 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact. You’ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life. Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies. At Cytiva you will be able to continuously improve yourself and us – working on challenges that truly matter with people that care for each other, our customers, and their patients. Take your next step to an altogether life-changing career. Learn about the Danaher Business System which makes everything possible. A Scientist in the Chemistry and Raw Materials team will further the raw material characterization of materials used in cell culture media. We are a cross functional team that provides technical support for Cytiva quality teams, MSAT, product engineering, R\&D, sourcing, planning, and product management. We also regularly present at conferences and develop material for Cytiva commercial teams. This position reports to Raw Materials Team Leader and is part of the Technology Operations and Innovation Division located in North Logan, Utah and will be an on-site role. What you will do: * Perform analytical testing on raw materials * Apply scientific understanding to plan and execute investigations of raw material questions or problems * Provide raw material technical support for other teams within Cytiva * Prepare and present both oral and written presentations for internal and external audiences Who you are * MS in Chemistry, Biochemistry or related field; or BS in a related field with 2+ years of experience in industry; * Experience using equipment like HPLC, UHPLC, LC-MS, ICP-MS, QToF etc. * Excellent oral and written communication skills It would be a plus if you also possess previous experience in: * Experience analyzing large data sets using coding (Python, R, etc.) and bioinformatic tools * Experience using analytical instrument software (Empower, Masshunter, etc.) * Knowledge of good manufacturing processes The salary range for this role is $70,000-$80,000. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. This job is also eligible for bonus/incentive pay. We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. Cytiva, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it’s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info. Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit www.danaher.com.

Scientist II, Research Biology (Oncology)

$133,000 - $145,350/yr

Eikon Therapeutics is a new biopharmaceutical company employing revolutionary technology at the intersection of chemistry, engineering, computation, and biology to discover novel treatments for life-threatening diseases. Eikon's discovery platform is built on groundbreaking innovations from its founders (Nobel Prize, 2014), culminating in the creation of microscopes which enable real time, molecular-resolution measurements of protein movement in living cells, thereby unlocking otherwise intractable classes of proteins as drug targets. Position As a Scientist II, Research Biology (Oncology) at Eikon you will be an essential part of an interdisciplinary team of highly creative and talented individuals with outstanding expertise in the Company's core platform technologies and drug discovery processes. You will play a key role in contributing to Eikon's pipeline and executing impactful biology studies for multiple drug discovery programs with a focus in oncology. You will be collaborating and working closely with a team of biologists, chemists, and engineering experts. About you You are a rigorous experimentalist who takes pride in your ability to execute at the bench and passionate about drug discovery and discovering effective treatments for patients. You are conscientious, organized and pay a great level of attention to detail. You are curious, love learning and are eager to take on hard problems. Someone who is collaborative by nature and is happy to help. You thrive in a fast-paced environment and enjoy pushing the edge of what is possible. What you'll do * Regularly culture various mammalian cell lines and generate important reporter or mutant cell lines to facilitate drug discovery effort. * Independently develop, optimize, and execute various cell-based experiments for target validation, screening campaigns, and compounds MoA to support drug discovery programs. * Keep detailed and organized records of experimental protocols and results. * Collaborate and communicate across a diverse interdisciplinary research team. * Contribute to multiple projects simultaneously and manage diverse team interactions. Qualifications * Ph.D. plus 2 years of relevant experience; or Master's plus 12 years of relevant experience; or Bachelor's plus 14 years of relevant experience * Proficient in mammalian cell culture, cellular assays, and molecular biology, e.g., transfection, DNA and RNA extraction, PCR, RT-qPCR, gene knockdown or knockout, Western Blot, * Capacity for quantitative and/or statistical analysis using common software tools (e.g., GraphPad Prism, Microsoft Office Suite, etc.). * The ability to communicate clearly and build open collaborative relationships is essential. * Experience working with fluorescence imaging, luciferase reporter assay, cell viability assay for single-compound treatment or drug combinations, flow cytometry with or without automation and other high-throughput tools and instrumentation are all highly preferred. * Experience in oncology is desirable. * Experience in discovering, validating, and/or characterizing drug targets through genetic and/or pharmacological approaches is desirable. At Eikon, employee compensation also includes bonus and equity compensation, in addition to several generous benefit programs, including: * 401k plan with company matching * Medical (premiums covered by Eikon at 95%), dental and vision insurance (premiums covered by Eikon at 100%) * Mental health and wellness benefits * Weeklong summer and winter holiday shutdowns * Generous paid time off and holiday policies * Life/AD\&D Insurance (premiums covered by Eikon at 100%) and optional supplemental employee-paid life/AD\&D policies * Enhanced parental leave benefit * Daily subsidized lunch program when on-site The expected salary range for this role is $133,000 to $145,350 depending on skills, competency, and the market demand for your expertise. Eikon is proud to be an equal opportunity employer and will consider all qualified applicants for employment. We are currently not accepting any new third-party agencies or firms at this time. Please do not forward unsolicited agency resumes to our website, employees or Human Resources. Eikon Therapeutics will not pay fees to any third-party agency or firm associated with unsolicited resumes.

Scientist

From $40/yr

Our client, a pharmaceutical company, is looking for a Scientist to join their team! This will be a onsite role working out of their office in Ridgefield, Connecticut. The successful candidate will have a Master’s or PhD, with experience in tissue processing, embedding, and staining. Role Overview: * Contract Role: 12 months * Pay: $40.04/hr on W2 Responsibilities: * Execute high-quality tissue processing and embedding using both paraffin and frozen section techniques to ensure consistency. * Perform specialized staining methods, including histology, immunohistochemistry (IHC), and immunofluorescence (IF), to support research and imaging goals. * Troubleshoot and refine laboratory protocols to ensure reproducible, high-quality results while maintaining strict compliance and detailed documentation. * Partner with researchers to design experiments, analyze data, and interpret findings. Required Qualifications: * Master’s or PhD in biology, biomedical sciences, or a related field is expected, though a Bachelor’s degree with significant relevant experience will be considered.. * 3–5 years of hands-on experience in tissue processing, embedding, and staining within a research or clinical laboratory setting. * Proficient in histological techniques (paraffin and cryosectioning) and specialized staining methods, including immunohistochemistry (IHC) and immunofluorescence (IF). * Prior experience with skin or ocular tissues, HPLC, and 3D printing is highly preferred, alongside the ability to troubleshoot and optimize protocols. * Strong attention to detail for data analysis, coupled with excellent time-management, multitasking, and laboratory safety/compliance standard maintenance. * Excellent written and verbal communication skills required to document procedures and work effectively both independently and within a collaborative team. The Solomon Page Distinction Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook, and LinkedIn. Opportunity Awaits

Associate Director Quantitative Genetics Scientist (Billerica MA)

From $131,300/yr

Work Your Magic with us! Start your next chapter and join EMD Serono. Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us. United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe. This role does not offer sponsorship for work authorization. External applicants must be eligible to work in the US. Your Role You will lead our human quantitative genetics strategy, working with scientists and clinicians in our neurology and immunology programs at all pipeline stages (target identification, target validation/assessment, safety de-risking, patient selection, indication selection and expansion, biomarker selection, in-licensing due diligence). To enhance the impact of genetics on our pipeline, you will: * Create a strategy for data acquisition and access, determining which publicly available and licensed resources (population biobanks, disease-specific cohorts, multi-ethnic datasets) will most effectively support our current and envisioned pipeline. * Ensure we use the right human genetics methods at the right time. You'll identify the right methods, both the old standards and new methods from recent literature, implementing them in our internal and linked platforms. * Perform genetic safety assessments for pipeline targets, including loss-of-function carrier phenotyping, phenome-wide association analysis, and Mendelian randomization to anticipate mechanism-based adverse events and on-target toxicity. * Provide rapid genetic due diligence for in-licensing and business development targets (~20-25 per year), assessing target-disease association, genetic safety signals, direction of effect, and competitive positioning. * Integrate genetic evidence with multi-omic data (proteomics, transcriptomics, eQTL/pQTL) for systems-level target validation and mechanism-of-action confirmation. * Support pharmacogenomic analyses for dose optimization, PK/PD modeling, and patient stratification strategies to enhance clinical trial design. * Create and communicate standards for the strength of human genetic evidence, including clear green-flag/red-flag frameworks for target nomination and portfolio decisions. * Contribute genetic features to probability-of-success models and target prioritization scoring to support portfolio-level decision-making. * Automate genetics tools and reporting to support both quantitative experts and disease biologists. Focus on quick turnaround settings such as early target screening, in-licensing due diligence, and safety assessment. Integrate with the agentic AI platform for scalable genetic reviews. * Work with engineering teams to develop interactive dashboards and visualizations to communicate genetic evidence to project teams, leadership, and due diligence committees. * Ensure that our human genetics tools and reporting are linked to internal decision support frameworks and to internal AI platforms. * Employ best practices from reproducible research to create a flexible yet FAIR data landscape and high-quality code infrastructure. * Collaborate with other data scientists in drug discovery/development program teams to ensure that the right questions are asked and answered. * Educate scientists across the R\&D organization on the available methods and possibilities from human genetics. Minimum Qualifications Who You Are * You have substantial expertise in genetics and are comfortable working both on strategic questions as well as hands-on implementation. * You have PhD in statistical genetics, computational biology, human genetics, or a related quantitative field. * Minimum 6 years relevant experience beyond PhD. * Demonstrated experience applying computational genetics to complex disease, with relevance to neurology and/or immunology. * Deep understanding of a wide range of human genetics methods, including GWAS and downstream analyses (e.g., fine-mapping, enrichment, colocalization, eQTL/pQTL mapping, PRSs, Mendelian randomization, direction of effect determination, loss-of-function and gain-of-function analysis) as well as variant interpretation. * Strong experience with large scale biobank datasets such as the UK Biobank, All of Us, and familiarity with disease-specific and multi-ethnic cohorts. * Experience with multi-omic data integration (genomics, proteomics, transcriptomics) for target validation and mechanism-of-action studies. * Experience applying machine learning and AI methods to genomic and multi-omic datasets. * Strong quantitative and programming skills (e.g., Python and R in Unix/HPC environments, including biobank trusted research environments). * Proven ability to translate genetic analyses into clear, actionable recommendations for scientific and portfolio decisions, including in-licensing and safety assessments. Preferred Qualifications * Experience in pharmaceutical or biotech R\&D, particularly in genetics-informed target selection, safety de-risking, or clinical development support. * Familiarity with pharmacogenomics and its application to dose optimization and PK/PD modeling. * Experience building automated analysis pipelines, dashboards, or agentic AI workflows for genetic evidence generation. * Track record of working with cross-functional teams including biologists, clinicians, and business development professionals. Location: On-site Billerica MA Pay Range for this position: $131,300 - $216,600 The offer range represents the anticipated low and high end of the base pay compensation for this position. The actual compensation offered will be determined by factors such as location, level of experience, education, skills, and other job-related factors. Position may be eligible for sales or performance-based bonuses. Benefits offered by the Company include health insurance, paid time off (PTO), retirement contributions, and other perquisites. For more information click here . What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress! Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!

Associate Scientist, Upstream Operations

From $50/yr

At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R\&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people’s lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success. We’re uniting science, technology, and talent to get ahead of disease together. Find out more: Our approach to R\&D Position Summary You will support laboratory and development activities that advance our mission to get ahead of disease together. You will work with scientists, engineers, and technical staff to run experiments, analyze data, and document findings. We value curious, careful, collaborative people who learn quickly and communicate clearly. This role offers hands-on technical experience, room to grow, and the chance to contribute to meaningful scientific work that affects patients worldwide. Key Responsibilities: * Executes production of clinical supplies based on established procedures and protocols and implements improvements with minimal supervision; interprets data and draws conclusions from the data * Anticipates/recognizes potential problems with equipment and/or supplies, and takes action to solve or prevent problems * Recognizes potential safety and compliance problems and takes action to rectify or escalate * Troubleshoots problems in the execution of processing activities; proactively assesses options and impact and communicates to the appropriate decision makers * Authors Standard Operating Procedures (SOPs), Investigation reports, Safety Assessments, and various other protocols with minimal supervision * Reviews executed load documentation (washer and autoclave), Media Forms, and/or Batch Records prior to submission to Quality Assurance to insure adherence to cGMPs and proper documentation practices * Identifies process improvement opportunities with impact on safety, compliance, and efficiency/cost * Documents work performed via the use of logs, media forms, batch records, and electronic systems in accordance with company policy and legal requirements * Strives for Right First Time in the manufacture of investigational material through attention, focus, planning, and adherence to procedural and regulatory expectations * Attends to regular safety and cGMP training and maintains accurate and complete safety and role-specific training records, consistent with company policy and legal requirements * Provides training and guidance to less experienced manufacturing associates * Serves as Subject Matter Expert in small scale, media preparation, and/or large-scale operations * May be asked to serve as lead in the absence of area supervisor or senior scientist * Provide support to the Safety Team and other EHS initiatives as required * Assist with the manufacture of clinical supply of investigational biopharmaceutical molecules for use in early or late phase clinical trials * Performs hands-on processing of large-scale cell culture or microbial fermentation steps under cGMP regulatory conditions. Processing steps include small scale/scale-up from vial thaw, end of production, media preparation, operation of stainless steel and single use bioreactors, harvest operations, CIP, SIP, washer and autoclave operation * Completes activities requiring independent thought that have the potential to comprise 50-100% of the employee’s time depending on production campaigns * In addition to manufacturing responsibilities, works on projects and assignments where independent action and a high degree of initiative are required to resolve problems and make recommendations Why You? Work model This role is on-site at a GSK laboratory. Hybrid or remote work is not available for this position. Must be available to work off-shift hours: early mornings, late evenings/nights, and weekends if necessary. Must be available to support on-call and alarm response activities (Equipment On-Call/FACMON) on/off-hours and weekends as necessary. Basic Qualifications We are seeking professionals with the following required skills and qualifications to help us achieve our goals: * Bachelor’s degree in Chemical Engineering, Biology, Chemistry, or other engineering or scientific field. * 1+ year(s) of direct GMP manufacturing experience or upstream experience * Experience with GMP regulations * Experience working in a regulated environment following good laboratory or manufacturing practices. * Practical experience with standard laboratory techniques (pipetting, sample prep). * Experience following written procedures and maintain accurate lab records. * Experience with routine laboratory/plant equipment Preferred Qualifications If you have the following characteristics, it would be a plus: * Prior exposure to laboratory information management systems or electronic lab notebooks would be helpful. * Demonstrated problem-solving skills and experience with root-cause analysis. * Experience working on cross-functional projects or in collaborative research teams. * Strong written and verbal communication skills for clear documentation and teamwork. * Demonstrates good interpersonal skills and communicates well both verbally and through written communications. Maintains a professional and productive relationship with area management and co-workers * Ability to work as self-starter and handle multiple priorities in a dynamic cross-functional team-based environment #GSK-LI \
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 Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at - usrecruitment.adjustments@gsk.com GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/

Senior Data Scientist

$156,000 - $166,400/yr

Exercise Scientist

MORROW MEDICAL MORROW Medical is a physician-led longevity and lifestyle medicine clinic in Singapore, focused on helping individuals understand, optimise, and protect their long-term health. We combine comprehensive health screening, preventive care, and evidence-based lifestyle medicine to identify early signs of metabolic, cardiovascular, and functional change—often before disease develops. Our fully licensed doctors diagnose conditions, prescribe medication, and manage chronic disease where required, while also guiding patients through personalised lifestyle interventions that support sustainable improvement. From preventive screening to ongoing medical management, MORROW Medical delivers integrated care designed to strengthen function, resilience, and long-term health outcomes. Position: Exercise Scientist Location: Singapore (Clinic-based) Reports to: Head of Lifestyle Medicine / Head of Exercise Science Works closely with: Group Movement Lead Role Overview We are seeking an Exercise Scientist to lead the assessment and evaluation of participants’ physical performance, with a focus on strength, power, functional capacity, and cardiorespiratory fitness. This role will be central to our clinical and lifestyle model of care, working within a multidisciplinary team of physicians, allied health, and health coaches to deliver actionable insights that shape precision health plans. Key Responsibilities * Conduct and interpret strength and power testing, following set protocols and using digital tools. * Perform functional movement and performance assessments, integrating validated protocols for mobility, balance, and musculoskeletal function. * Administer VO₂ max and submaximal cardiorespiratory testing, ensuring safety, standardisation, and repeatability. * Generate data-driven, actionable reports for physicians, allied health, and clients, linking results to healthspan and longevity outcomes. * Collaborate in developing personalised exercise prescriptions and lifestyle interventions within multidisciplinary care plans. * Ensure testing protocols are evidence-based, standardised, and repeatable, while scalable across in-person and digital pathways. * Support research initiatives, including participation in protocol design, data collection, and clinical studies on exercise and longevity. * Contribute to patient education, onboarding workshops, and group/shared medical appointments. * Maintain accurate documentation and adhere to all clinical governance, safety, and compliance requirements. Qualifications \& Experience * Bachelor’s or Master’s degree in Exercise Science, Exercise Physiology, Sports Science, or equivalent. * Accreditation with Exercise \& Sports Science Australia (ESSA), American College of Sports Medicine (ACSM), or equivalent recognised body. * Proven experience in conducting exercise and performance testing in a clinical, academic, or high-performance setting. * Strong knowledge of cardiopulmonary exercise testing (CPET), strength diagnostics, and functional assessment tools. * Familiarity with longevity, lifestyle medicine, and prevention-focused models is highly desirable. * Excellent communication skills to translate complex data into clear, actionable insights for both clinicians and clients. * Demonstrated ability to work within a multidisciplinary team, with empathy, professionalism, and patient-centred care. What We Offer * Opportunity to pioneer exercise science as a central pillar of a first-of-its-kind longevity and lifestyle medicine facility in Asia. * Access to world-class diagnostic technologies and an integrated clinical + lifestyle environment. * Collaborative, purpose-driven culture with values of Trust, Connection, Empowerment, and Impact. * Competitive remuneration and benefits, with opportunities for research, professional growth, and global collaborations. Why Join Us This is a career-defining opportunity to shape the future of longevity medicine while working alongside world-class clinicians and technologists. You will contribute to initiatives that directly lead to extending human healthspan while establishing Singapore as the global hub for longevity innovation. At Morrow, you will not only help define operational excellence but also build the culture, rhythm, and future of interventions. You won't just be joining a team. You will be co-creating tomorrow. Morrow Medical Pte Ltd is an equal opportunity employer committed to building a diverse and inclusive team.

Exercise Physiologist/Exercise Scientist

From $38/yr

ABOUT US ============ Proudly Australian, Sonic HealthPlus is now the largest provider of corporate medicine in the country. With a national network of wholly owned metropolitan and remote clinics, we deliver Occupational Health, General Practice and integrated medical, paramedical and wellness services to both large and small corporate and community groups. ABOUT THE ROLE ================== We are currently seeking an Exercise Physiologist or Exercise Scientist to join our team in our Gladstone Clinic, QLD, on a Permanent Full-Time basis, working 38 hours a week. Reporting to the Practice Manager, this position will be responsible for completing health screening, including musculoskeletal and fitness assessments. There is also a possibility for providing onsite health screening and wellness services. If you are a self-starter who likes to keep busy working in a passionate team environment – then this job is for you. Graduates welcome to apply! DUTIES ========== Your responsibilities will include, but are not limited to: * Take patient histories and conduct physical examinations * Conduct musculoskeletal and fitness testing * Medical screening including ECG, spirometry, audiometry, drug and alcohol testing * Delivery of health and wellness initiatives * Communication and liaison with clients * Administration duties CANDIDATE REQUIREMENTS ========================== As the successful candidate, you will have a tertiary qualification in Exercise Physiology or Exercise Science together with the following: * Accreditation with ESSA (Exercise and Sports Science Australia) * Current First Aid and CPR certificates * Working with Children Check * Developed computer skills and the ability to write reports * Be comfortable and confident in working with a diverse cross section of our population * Have the ability to establish strong rapport with our clients * Work both autonomously and within the team environment; demonstrating agility and strong time management skills WHY JOIN US? ================ * Ongoing training and development * Stable, reputable national healthcare provider (part of the global Sonic Healthcare) * Paid parental leave * Numerous discounts including travel, gym membership and health insurance options * Novated Leasing * Discounted fees for various medical services e.g. pathology, radiology and travel health * Employee Assistance Program * Focus on corporate social responsibility e.g. fundraising, supporting community events HOW TO APPLY ================ As part of our pre-employment process, preferred candidates must provide a National Police Clearance conducted within the last 3 months. Short listing for this position will commence immediately. You are encouraged to apply promptly as applications will close when suitable applicants are obtained. DIVERSITY, EQUITY AND INCLUSION =================================== At Sonic HealthPlus, we embrace a diverse mix of minds and backgrounds, creating a supportive environment where every voice is valued. Our commitment to gender equity fosters a safe, respectful, and welcoming space for all. We honour the unique experiences of veterans and current serving members of the Australian Defence Force and their families, whose military backgrounds enrich our workplace. We encourage applications from individuals of all ages, cultures (including Aboriginal and Torres Strait Islander peoples), abilities, sexual orientations, religions and gender identities, reflecting the vibrant diversity of our communities. As an Equal Opportunity Employer, we value social and cultural diversity and strongly encourage Aboriginal and Torres Strait Islander peoples to apply. Sonic HealthPlus prioritises accessibility and we are happy to adjust our recruitment processes to support all candidates. PRIMARY LOCATION: AU-QLD-GladstoneJOB POSTING: 05-Feb-2026

Staff Data Scientist - Healthcare (f/m/d)

From $90,000/yr

We see the potential inside everything and everyone. Starting with you. Orbem uses AI to industrialize MRI, delivering non-invasive insight into everything from fruits to eggs to the human body. We are transforming what is becoming the world’s largest biological dataset into actionable intelligence to reduce waste, increase quality, and accelerate the shift toward a more sustainable and healthier future. Headquartered and founded in Munich, Germany, with an office now in Houston, Texas, our world-class team is scaling inside-out technology to transform how humanity sees and understands biological matter. Help us see what’s possible. Join us. Staff Data Scientist - Healthcare (f/m/d) ================================================== Start Date: As soon as possible Yearly Salary: €90,000 - €100,000 (fixed range, annual gross) Stock Options: €40,000- €80,000 Benefits: Up to €5,000 annually Work Model: Full-Time, Hybrid (Munich, Germany) Your Role As a Staff Data Scientist, you will play a key role in designing and implementing the next generation of AI-powered imaging applications in healthcare. You will work closely with MRI scientists, business, and product to translate Orbem’s insights from the industrial MRI product to the unique requirements of the healthcare space. Your scientific mindset and strong expertise in data and modeling help us build a healthier future. Your Day-to-Day On a typical day, you would: * Lead the design and implementation of ML solutions for healthcare (in particular deep learning) * Explore various datasets and biomarkers to find data insights for the healthcare domain * Translate knowledge and methods from Orbem’s industrial food applications to the healthcare context. * Validate reliability, fairness, and interpretability of our ML solutions * Collaborate with MRI scientists, product and business experts to ensure feasibility, desirability and viability of new products * Grow the know-how in ML methods for the healthcare domain Fit to our values * We Own Every Challenge: We accept challenges as opportunities for growth and approach them with determination. * We Strive for Better: We learn, adapt, and push for higher standards. * We Imagine New Frontiers: We challenge the status quo with curiosity and creativity. We design a sustainable and healthy future together. Your experiences and skills Data Science in medical imaging * You have significant experience in ML model development for medical imaging. * You are well versed in methods for model interpretability and uncertainty estimation. ML engineering * You have deep knowledge of Pytorch and distributed training. * You have strong Python coding skills, you are an advocate and expert in best practices and design patterns. * You have experience with version control tools and tools for creating reproducible, containerized environments. * You are experienced in ML system design, in particular deep learning and computer vision. Leadership and business acumen * Proven technical leadership on cross-functional initiatives, successfully guiding data science development with dependencies to various disciplines. * Strategic influence in shaping the long-term technical roadmap for a product or application, navigating uncertainty and ensuring data science decisions align with business goals. * High technical judgment and a pragmatic approach to decision-making, with a demonstrated ability to balance deep technical work with product deadlines. What makes you stand out from other candidates * Publications in relevant conferences for AI/ML in medical imaging. * Experience bringing AI-enabled imaging methods into products. * Experience navigating clinical regulatory frameworks in the EU and US. * Experience with ML data privacy and security challenges and techniques (e.g. federated learning) What We Offer International Environment: Join a team with 40+ nationalities across 5 continents, all driven by a shared purpose: shedding light on the world’s toughest challenges. Attractive Compensation Package: * Stock Options: Share in Orbem’s success. * Visa \& Relocation Support: Seamless support for your move to Germany. * Learning \& Development: €1,750 annual budget for personal growth. * Fitness Membership: Access to Urban Sports Club or Wellpass. * Childcare Reimbursement: Support for Kita/Kindergarten fees. * Deutschland Ticket: Full coverage of public transportation. Work-Life Integration: * Flexible Hours \& Home Office: Work when and where it suits you. * WFH Perks: Get €185 to upgrade your home office + a sleek external monitor on us! * 30 Days Paid Leave: Plenty of time to recharge. * Personal Leave: Flexibility for life’s important moments. * Work from Anywhere: Experience new cultures and environments for up to 60 days per year. Make a Difference: Join an ambitious, fast-growing team working on breakthrough technology. In our scale-up environment, you’ll have the freedom to lead your projects and make an impact. We provide a platform for you to explore, innovate, and define your vision for the future. At Orbem, we’re committed to helping you discover your strengths, and while we aim to teach you, we also want to learn from you. Your Team: As an Staff Data Scientist, you become part of our diverse and international team. Learn more about the team members, their work, and challenges here: https://orbem.ai/company/ At Orbem, we're committed to building a smart, diverse team, and we recognize that self-doubt can prevent talented individuals from applying. If you feel you don't meet every requirement, we'd love to hear from you anyway!

Senior Health Data Scientist (Real-World Data)

$113,000 - $150,000/yr

Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building. Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare's greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve. Overview: The Senior Health Data Scientist will lead and serve as subject matter expert to highly complex data extracts, programming, and analytical modeling capabilities in support of the team's services to internal and external clients. The Senior position provides guidance and support as needed to junior staff. The team consists of staff with specialized experience, such as statisticians, researchers, health economists, clinicians, and project managers, who conceptualize, execute, and deliver qualitative, analytical, and strategy-based work products for clients. We also work closely with other product teams and business units, applying the full scope of the company's knowledge base to the development of multi-disciplinary, creative solutions on behalf of our clients. Business Unit: Insights - Health Data Science Team This team is the data subject matter expert within the Insights business unit. Their role is to support teams across the organization to bridge the gap between product and engineering. Assist with translating the high-level product vision from the product lead by: 1) Writing detailed logic/algorithm requirements 2) Building prototypes 3) Best practices consulting, and 4) User acceptance testing. This also involves data profiling, data investigation, root-cause analyses, etc. Duties and Responsibilities: * Serve as lead when working collaboratively with product leads, managers, and owners to draw insight and intelligence from large administrative claims datasets, electronic medical records, and various healthcare registry datasets; * Identify and develop solutions that can be implemented to key strategic business problems using high-level modeling and statistical analyses techniques; * Utilize SQL to perform advanced-level data extraction, transformation and data management; fully document and manage library of source code and algorithms for future use; * Identify, develop, and test hypotheses in support of research and product offerings, and communicate findings in a clear, precise, and actionable manner to our clients; * Respond to and lead highly complex operational data requests and create ad-hoc queries to support research projects; * Serve as lead when working closely with Inovalon's Enterprise Data Platform teams to identify, understand, and resolve data issues and improve the efficiency, productivity, and scalability of the company's data processes; * Troubleshoot complex production-related issues and coordinate successful resolution; * Assist with the evaluation of data analytic vendors and tools; * Maintain compliance with Inovalon's policies, procedures and mission statement; * Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon's Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position; * Fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Company; * Uphold responsibilities relative to the separation of duties for applicable processes and procedures within your job function; and * We reserve the right to change this job description from time to time as business needs dictate and will provide notice of such. Job Requirements: * 5 + years of professional experience in healthcare or pharmaceutical industries working with administrative claims data and electronic medical records; * Strong SQL programming skills in addition to working knowledge and experience using statistical analysis tools such as SAS, R, and Python; * Demonstrated problem solving, analytical reasoning, and decision-making skills; * Strong understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex, and incomplete sources; * Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.) and good understanding of design and architecture principles; * Exhibit strong project management skills, with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines; * Excellent analytical skills and ability to understand and interpret results based on advanced statistical techniques; * Strong written and verbal communication skills in IT and business environments; ability to communicate to technical and non-technical audiences; * Ability to work under minimal supervision in a fast-paced multidisciplinary environment; * Advanced knowledge of health care, health policy, pharmaceutical, medical device, and related issues; * Superior customer service in the form of first-rate work product and project management; * Strong ability to manage challenging client situations; * Strong ability to troubleshoot and recommend solutions; and * Strong ability to translate complex information for a wide range of clients. Education: * Master's degree in computer science, data science, applied mathematics, econometrics, statistics, engineering, physics, or related discipline; or equivalent combination of education and experience Physical Demands and Work Environment: * Sedentary work (i.e. sitting for long periods of time); * Exerting up to 10 pounds of force occasionally and/or negligible amount of force; * Frequently or constantly to lift, carry push, pull or otherwise move objects and repetitive motions; * Subject to inside environmental conditions; and * Travel for this position will include less than 5% locally usually for training purposes. This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions) If you don't meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles. By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth. Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement. To review the legal requirements, including all labor law posters, please visit this link To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link

Healthcare Data Scientist

If you are looking to make an impact on a meaningful scale, come join us as we embrace the Power of One! We strive to be an employer of choice and establish a reputation for being a talent rich organization where Associates can grow their career caring for others. For over a century, we’ve served the health care needs of the people of Memphis and the Mid-South. From a staff position and under limited supervision, the Healthcare Information Data Scientist functions as a member of various multi-disciplanary teams producing innovative solutions driven by exploratory data analysis from complex and high-dimensional databases. The incumbent uses a flexible, analytical approach to design, configure, develop, enhances, test and evaluate predictive models and advanced algorithims that lead to optimal value extraction from the data. Effectively communicates information in a way that is easy to understand for the intendeded audience, both technical and non-technical. Other responsibilities include documentation, training other analysts and super users, and coordination of hardware installation and support. Takes initiative and exercises sound judgment to resolve urgent problems. Acts when necessary to resolve emergencies. Models appropriate behavior as exemplified in MLH Mission, Vision and Values. Working at MLH means carrying the mission forward of caring for our community and impacting the lives of patients in every way through compassion, a deliberate focus on service expectations and a consistent thriving for excellence. A Brief Overview From a staff position and under limited supervision, the Healthcare Information Data Scientist functions as a member of various multi-disciplanary teams producing innovative solutions driven by exploratory data analysis from complex and high-dimensional databases. The incumbent uses a flexible, analytical approach to design, configure, develop, enhances, test and evaluate predictive models and advanced algorithims that lead to optimal value extraction from the data. Effectively communicates information in a way that is easy to understand for the intendeded audience, both technical and non-technical. Other responsibilities include documentation, training other analysts and super users, and coordination of hardware installation and support. Takes initiative and exercises sound judgment to resolve urgent problems. Acts when necessary to resolve emergencies. Models appropriate behavior as exemplified in MLH Mission, Vision and Values. What you will do* Analyzes problems and develops solutions involving computer software programs and applications by designing programs or queries to retrieve complex data from databases in one or more programming languages. * Applies theoretical expertise and innovation to create or apply new technology. * Supports EHR and other clinical or business information system database application build and maintenance. * Supports EHR and other clinical or business information system application configuration such as building worklists, Boolean rules, populating masterfiles, CDM, adapting vendor model clinical documentation tools to meet MLH needs, etc. * Supports EHR and other clinical or business information system report build and distribution configuration. * Completes assigned tasks in project and/or tracking system; Ensures task assignment completion is documented as soon as the task is completed to prevent delays in a project or assignment. * Documents and maintains application design and build documents, including Visio workflow diagrams, build trackers and IT Service Management. * Participates in interface planning, design, and testing. * Contributes to test script creation and perform testing tasks as assigned or needed. * Participates in activities related to project pre-work, configuration, testing, training, activation, and post-live support and stabilization * Identifies current and future customer requirements. Analyzes business and technical problems. * Participates in and may lead Operational Workgroups and documents work completed and next steps, as assigned. Compiles and assesses user feedback, gathers requirements for application configuration, and reviews applicaton build. Documents and communicates decisions, tasks/assignments, and deadlines. * Guides workflow design, building and testing applications, and analyzing other technical issues associated. * Works with training team to develop training materials. * Supports cutover and activation activities for the functional area. * Reviews the status of projects and issues on an ongoing basis with leaders. * Identifies and implements approved changes to the system. Prior to implementing changes, notifies manager or director of concerns related to approved changes based on knowledge of application and workflow. * Serves as a liaison between end users' workflow needs and vendor implementation staff. * Works with vendor representatives, MLH’s clinical and business leaders, and end users to ensure the system meets MLH’s clinical and business needs in regards to the project deliverables and timeline. Maintains regular communication with vendor representatives, including participating in project team meetings. * Troubleshoots problems and responds to questions. * Develops, conducts, and/or coordinates information technology and/or information management training programs for clinical departments, medical staff, students and others as required. * Coordinates new services requests - network, hardware and software for assigned departments. * Communicates effectively by promoting the flow of information within and outside the department. * Demonstrates initiative in identifying opportunities for self-development and enhancement of professional competency. * Primary support contact for application end users. * Provides after hours support through on call duties for critical systems. * Reviews, recommends and implements data security, integrity, backup and recovery procedures. * Familiar with emerging information technology relevant to assigned clinical and/or business areas. * Responds on a 7/24 on-call basis to application and Customer problems; ensures that any problem within his/her ability to correct is addressed in a timely and professional manner. Education/Formal Training Requirements * Required - Bachelor's Degree Computer sciences * Preferred - Associates Degree Business Administration/Management * Preferred - Associates Degree Computer sciences * Preferred - Associates Degree Healthcare Administration * Preferred - Bachelor's Degree Data Science * Preferred - High School Diploma or Equivalent Work Experience Requirements * Required - Computer programming 1-3 years * Preferred - Substitution allowed: In lieu of Bachelor’s degree, the candidate must have a high school diploma or equivalent with six (6) years of applicable IT experience, applicable business or clinical knowledge 5-7 years * Preferred - Substitution allowed: In lieu of Bachelor’s degree, the candidate must have an Associate’s degree in Computer Science, Healthcare, Business or related field with four (4) years of applicable computer programming or related experience plus applicable general business or clinical knowledge/training 3-5 years Knowledge, Skills and Abilities * Good balance of operational experience, project management skills, and organizational skills. * Knowledgeable about MLH’s policies, procedures, and clinical/business operations * Demonstrated knowledge in the following: software business intelligence, data analysis data mining, compiler/decompiler, user interface, enterprise application integration, operation job scheduling and server and network monitoring. * Knowledge of design techniques, tools, and principles involved in the production of precision data models, queries, and programs. * Advance knowledge of SQL and relational database management systems. * Demonstrated knowledge of programming, data modeling, simulation, as well as statistics and mathematics. * Ability to parse data in common file formats such as csv and xml files, applying regular expressions and mathematical transforming data into information. * Ability to communicate verbally and in writing information concepts and methods to non-technical users. Supervision Provided by this Position * There are no lead or supervisory responsibilities assigned to this position. Physical Demands * Subject to call back at all times. Ability to travel to any area of the organization, both local and remote as needed. Must provide own transportation. * Required to sit for extended periods. * The physical activities of this position may include climbing, pushing, standing, hearing, walking, reaching, grasping, kneeling, stooping, and repetitive motion. * Must have good balance and coordination. * The physical requirements of this position are: light work - exerting up to 25 lbs. of force occasionally and/or up to 10 lbs. of force frequently. * The Associate is required to have close visual acuity to perform an activity, such as preparing and analyzing data and figures; transcribing; viewing a computer terminal; or extensive reading. * The conditions to which the Associate will be subject in this position: The Associate is not substantially exposed to adverse environmental conditions; job functions are typically performed under conditions such as those found in general office or administrative work. Our Associates are passionate about what they do, the service they provide and the patients they serve. We value family, team and a Power of One culture that requires commitment to the highest standards of care and unity. Boasting one of the South's largest medical centers, Memphis blends a friendly community, a thriving and growing downtown, and a low cost of living. We see each day as a new opportunity to make a difference in the lives of the people in our community.

Health Data Scientist (AI & Clinical Data) (26-003)

Strategic Analysis, Inc. (SA) Is actively seeking a Health Data Scientist to provide technical leadership in data design, evaluation strategy, and clinical realism for a multi-stakeholder program advancing AI diagnostics for rare diseases. This is a Science and Engineering and Technical Advisor (SETA) role focused on ensuring that datasets, benchmarks, and evaluation methods are scientifically rigorous, clinically grounded, and aligned with real-world use. In this role, Health Data Scientist will operate at the intersection of health data, AI evaluation, and clinical practice, providing expert guidance to program leadership and external performers. You will help define what success means for AI diagnostics in rare disease contexts and ensure that technical progress translates into meaningful clinical insight and patient impact. This role is ideal for someone who combines deep experience with healthcare data and AI evaluation with the ability to critically assess methodologies, anticipate failure modes, and translate clinical realities into measurable technical criteria. Roles and Responsibilities: 1. Lead and advise on the design, preparation, and validation of healthcare datasets used across the program, including EHR, genomic, and multimodal data. 2. Define and assess evaluation strategies and benchmarks that are clinically realistic, methodologically sound, and resistant to shortcut learning or leakage. 3. Review technical proposals, model submissions, and evaluation results from external teams, providing expert feedback on validity, risks, and interpretability. 4. Assess data quality, representativeness, and bias, and advise on mitigation strategies appropriate to rare disease contexts. 5. Evaluate alignment between technical performance metrics and clinical decision-making needs, working closely with clinical SMEs. 6. Identify gaps between benchmark performance and real-world applicability, and advise on corrective actions. 7. Serve as a technical bridge between AI developers, clinical experts, and program leadership. 8. Support the program manager with technical assessments, recommendations, and decision support related to data and evaluation. 9. Track progress of external partners and identify data- or evaluation-related risks that could impact program outcomes. 10. Produce high-quality written reports, analyses, and presentations that communicate technical findings to diverse audiences. This role is suited to candidates who: * Think deeply about measurement, validity, and scientific rigor. * Are comfortable exercising judgment in ambiguous or under-specified evaluation contexts. * Maintain high standards for data quality and methodological integrity. * Communicate clearly across clinical, technical, and programmatic audiences. * Operate with ownership and accountability in high-stakes environments. * Are motivated by advancing AI systems that deliver real clinical and patient impact, not just strong metrics. Minimum Qualifications: * PhD in Biomedical Informatics, Data Science, Biostatistics, or a related field. * 5+ years of experience working with healthcare or biomedical data in applied or evaluative roles. * Hands-on experience with EHR, genomic, or multimodal healthcare datasets. * Deep understanding of AI/ML evaluation methods, including benchmarking, robustness, and sources of bias or leakage. * Demonstrated ability to critically review and assess technical work across health data and AI domains. * Strong understanding of data governance, privacy, and compliance in healthcare contexts. * Excellent written and verbal communication skills, with experience producing high-quality technical materials. Preferred Qualifications: * Domain expertise in rare disease, diagnostics, or clinical decision support. * Prior experience in technical advisory, evaluation, or SETA-style roles. * Experience collaborating closely with clinicians and healthcare stakeholders. * Experience working in fast-paced, multi-stakeholder, or early-stage environments. Education: PhD in Biomedical Informatics, Data Science, Biostatistics, or a related field. Location: Position is remote. Travel: Periodic travel may be required Clearance: Ability to obtain HHS Public Trust.

Chief Data Scientist - UnitedHealthcare

$225,000 - $375,000/yr

At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together. The UnitedHealthcare Chief Data Scientist is a strategic leader responsible for establishing a new data science capability with the remit to transform data, advance analytics and AI into measurable enterprise value across the healthcare insurance ecosystem. This role ensures that advanced predictive analytics directly supports core business objectives, including affordability, quality of care, member experience, financial and actuarial planning and operational efficiencies. The Chief Data Scientist operates at a senior level and partners with senior UnitedHealthcare business leaders to identify high-impact transformative opportunities and deliver solutions that drive impact. The senior leader will work cross functionally with the UnitedHealth Group and Optum teams to secure efficient, scalable and sustained solution design and deployment. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. Hybrid in MN/DC: This position follows a hybrid schedule with four in-office days per week. Primary Responsibilities: UnitedHealthcare Strategy \& Business Alignment * Collaborate with executive leaders across Financial, Actuarial, Healthcare Economics, Operations, Provider and Member Experience organizations to translate strategy into a prioritized data science roadmap with enhanced predictive capabilities * Identify and champion opportunities where AI and predictive analytics can improve care affordability, enhance population health management, optimize medical costs insights and signaling and streamline data and insights pipeline operations * Communicate analytical and predictive insights in clear, actionable terms to support strategic decisions and planning - not in technical terms Value Creation in Focus * Lead development of value frameworks that quantify outcomes such as medical cost savings, improved quality scores, risk accuracy, utilization management efficiencies, financial forecasting, reserving and provider network performance * Ensure all predictive models and analytics directly improve key metrics and regulatory, legal and compliance performance Applied AI Transformation Across the Insurance Lifecycle * Drive end-to-end AI/ML development across connected data domains of claims, member, provider and networks * Enhanced Forecasting Capabilities: Predictive models for early detection, medical cost trends, member behavior insights and member population stratification * Support Utilization Management \& Care Management: Influence models to automate prior authorization, detect avoidable utilization and target members for care coordination * Provider Network Optimization: Predictive insights to manage provider performance, leakage, cost variation and contracting opportunities * Member Engagement \& Experience: Personalization models that improve retention, adherence and satisfaction * Payment Integrity \& FWA: Advanced anomaly detection and claims pattern analytics and predictions * Deliver high-quality and contemporary data science models that are explainable, compliant and integrated into real-world workflows Operationalization \& Cross-Functional Collaboration * Partner with Technology, Clinical Operations, Claims, Actuarial and Product teams to deploy and scale AI solutions across the enterprise * Embed data science resources within key business areas to maximize adoption and impact * Ensure seamless integration of models into products, workflows and decision-support systems Leadership \& Talent Development * Build and lead a high-performing, multidisciplinary team of data scientists, data engineering experts, machine learning engineers and AI product partners * Foster a culture of innovation, collaboration and influence grounded in healthcare ethics and member-first principles * Strengthen data literacy across UHC, empowering leaders to make informed decisions Success Measures * Recognized improvement in medical cost trend forecasting and improved affordability * Increased automation and efficiency across data and insights operations * Scaled adoption of AI-enabled insights across business units * Strong governance, compliance readiness and responsible AI maturity * High engagement, retention and growth within the data science team Technical Expertise Machine Learning \& Advanced Analytics * Predictive modeling (classification, regression, survival analysis) * Ensemble methods, gradient boosting, random forests and XGBoost/LightGBM * Deep learning (NLP, sequence models, representation learning) * Probabilistic modeling and Bayesian methods * Time-series forecasting (claims trend, utilization, membership, RAF forecasting) * Causal inference and uplift modeling for interventions and care programs Productization of Data Science \& AI * Building analytic products (risk engines, utilization predictors, network tools) * Designing feedback loops for continuous improvement * A/B testing and impact measurement in operational workflows * Integrating AI into digital member, provider experiences and internal workflows Insurance Data Expertise * Claims data (medical, pharmacy, behavioral, dental) * EHR/clinical data, lab results, clinical notes * Risk adjustment models * Quality measurement frameworks * Social determinants of health data integration * Provider data: NPI, cost/quality variation, contracting data Natural Language Processing (NLP) * Clinical document processing (progress notes, medical records, appeals) * Claims and prior authorization text extraction/automation * Named entity recognition for diagnoses, procedures, risk factors * Large language models (LLMs) for summarization, routing, code capture, member communication AI/ML Engineering \& Deployment * Model operationalization and MLOps * Feature stores, model registries, and artifact tracking * Model monitoring (drift, bias, performance, retraining) * Building scalable AI services/APIs for production * Real-time inference and decision-support integration * Cloud ML platforms knowledge Data Engineering * Data warehousing and lakehouse platforms (Databricks, Snowflake knowledge) * Data pipelines for high-volume claims and clinical data * Data modeling for healthcare operations (member, provider, claims) Preferred Programming \& Tools knowledge * Python (pandas, scikit-learn, PyTorch, TensorFlow) * SAS (STAT, ETS and OR) * R (useful for actuarial, risk, quality analytics) * Spark/PySpark * Visualization and BI platforms (Power BI) You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: * 15+ years of proven executive leadership experience in advanced analytics, insurance operations, actuarial science or/and applied AI * Deep understanding of the insurance ecosystem, including medical cost drivers, regulatory frameworks, claims workflows and quality performance metrics * Proven track record of delivering data science and AI solutions that drive measurable financial and clinical impact * Solid expertise in predictive modeling, machine learning, data and analytical solution design * Expect level experience linking a business problem to applied data science techniques leading the hands-on technical talent in model development * Solid communication and partnership skills, with ability to align complex analytics to business and financial outcomes * Ability to demonstrate value-based leadership aligned to UnitedHealth Group culture and hire, grown and retain data science talent for future success * All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $225,000 to $375,000 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

Health Data Science Junior Research Scientist

$47,500 - $65,000/yr

New York University: NYU - NY: School of Global Public Health Location New York, NY Open Date Feb 02, 2026 Description Position Title: Health Data Science Junior Research Scientist School: NYU's School of Global Public Health | Biostatistics Supervisor: Dr. Rumi Chunara (Principal Investigator) Schedule: Full-Time Employment Dates: March 2, 2026 - August 28, 2027 About the Center for Health Data Science (CHDS) The Center for Health Data Science (CHDS) at NYU is a hub for transdisciplinary research with a global outlook, focused on data-driven analyses for public health. CHDS leverages cutting-edge machine learning and artificial intelligence to drive impactful research while ensuring models perform robustly across population groups. The Center is a leader in holistic data science and machine learning, emphasizing best practices in machine learning and AI while also collaborating extensively with private and public partners to translate research into real-world applications. CHDS values pluralistic knowledge discovery and action, working across disciplines and with practitioners to address community needs. Position Summary The Junior Research Scientist will support CHDS’s research initiatives by applying data science techniques to health-related challenges. This role will also involve collaborating with NYU Langone Health and the Institute for Excellence in Health Equity on interdisciplinary quality improvement and research projects. The ideal candidate will have a strong foundation in data analysis, problem-solving, and an eagerness to learn. They should have experience in leveraging data science for public health and an interest in exploring topics such as healthcare and social determinants, collaborative public health interventions, and policy implications. This role is ideal for early-career researchers seeking to expand their experience and contribute to meaningful projects in health data science. This position is offered for a duration of up to two years, with performance evaluations conducted at designated midpoints throughout the contract period. Key Responsibilities * Conduct data-driven research in health data science, applying machine learning and analytical techniques to public health challenges. * Collaborate with supervisors on research projects related to health policy, healthcare, and disease prevention. * Data management, organization, and documentation to support research efforts. * Assist in designing and implementing data analysis strategies for health-related programs and initiatives. * Contribute to research dissemination through reports, web posts, manuscript drafts, and conference presentations. * Perform other duties as needed to support CHDS initiatives. Additional Position-Specific Responsibilities * Proficiency in data analysis tools and programming languages, with experience in machine and deep learning workflows and handling large, complex health datasets. * Strong skills in developing analysis and evaluation strategies and effectively applying them in research projects. * Experience in data visualization and the ability to communicate technical findings to diverse audiences. * Excellent written and verbal communication skills, with the ability to engage both technical and non-technical stakeholders. * Ability to exercise independent judgment, critical thinking, and discretion in problem-solving and decision-making. * Familiarity with statistical analysis tools and frameworks for health data analysis. * Strong organizational and project management skills, with the ability to manage multiple priorities and meet deadlines. * A collaborative mindset with strong problem-solving and customer service skills to engage effectively with teams and stakeholders. Qualifications * Bachelor's or Master's degree in a related field (e.g., data science, computer science, biostatistics) with at least 2 years of relevant research or data analysis experience. * Demonstrated experience with data analysis in applied health research or professional settings beyond coursework. * Experience working with and communicating to stakeholders. * Detail oriented, a strong analytic proclivity, proactive attitude, growth mindset, high quality organizational and teamwork skills. Preferred Qualifications * Experience contributing to health research projects or evaluations, with involvement in publications, presentations, or technical reports. * 1–3 years of experience in health research or evaluation roles with progressively responsible contributions. Application Instructions Please apply via Interfolio application. In compliance with NYC’s Pay Transparency Act, the annual base salary range for this position is $47,500-$65,000. New York University considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/training, key skills, internal peer equity, as well as market and organizational considerations when extending an offer. Application Process This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.

Senior Data Scientist, Bitcoin

$160,000 - $220,000/yr

Data Scientist - Model Strategy Management

$163,600 - $245,400/yr

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurt

Biological Safety Research Scientist

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for biological scienti

Research Engineer / Research Scientist, Pre-training

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the team We are seeking passionate Research Scientists and Eng

Research Engineer / Research Scientist, Pre-training

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the team We are seeking passionate Research Scientists and Eng

Research Engineer / Research Scientist, Biology & Life Sciences

$280,000 - $350,000/yr

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role We're seeking an exceptional Research Engineer / Rese

Data Scientist/Analyst

Data Scientist 1 - Healthcare

JOB SUMMARY Value-Based Care (VBC) Analytics is an independent organization covering the Baylor Scott \& White Health Plan (Payer) and Baylor Scott \& White Quality Alliance (Accountable Care Organization) analytical and data science needs. We are seeking a customer-facing Healthcare Data Scientist who works closely with key business stakeholders within the value-based care team, to develop use cases related to difficult to solve and complex business challenges. The ideal candidate will work on creating machine learning models using appropriate techniques to derive predictive insights that enable stakeholders to glean insights and enable actions to improve business outcomes. ESSENTIAL FUNCTIONS OF THE ROLE Communication and Consulting: Summarize and effectively communicate complex data science concepts to inform stakeholders, gain approval, or prompt action from non-technical audience from data-driven recommendations. Applied Machine Learning: Implement machine learning solutions within production environments at scale. Apply appropriate machine learning techniques that directly impact HEDIS/Stars initiatives Data Collection and Optimization: Collect and analyze data from a variety of SQL environments (Snowflake, SQL Server) and other data sources, including vendor derived data, electronic health records, and claims data. Analyze Healthcare Data: Conduct detailed analyses on complex healthcare datasets to identify trends within HEDIS/Stars and utilization, patterns, and insights that support value-based care initiatives, particularly in quality, adherence to standards of care. Stay Informed: Stay up to date on the latest advancements in data science and healthcare analytics to continuously improve our methodologies and tools. KEY SUCCESS FACTORS The ideal candidate will have some of the following skills and an eagerness to learn the rest. Healthcare Knowledge: Understanding and prior experience in handling data pertaining to HEDIS, Stars measures and Regulatory specifications. Experience in admin claims data sources such as medical/pharmacy claims, social determinants of health (SDOH) and electronic health records is also required. Education: Bachelor’s or advanced degree in mathematics, statistics, data science, Public Health or another quantitative field. Effective Communication: Experienced in communicating findings and recommendations directly to Executive-level customers and healthcare professionals. Analytics Skills: Academic or professional experience conducting analytics and experimentation using algorithms associated with advanced analytics topics, including binary classification algorithms, regression algorithms, Neural Network frameworks, Natural Language Processing, etc. Technical Skills: Proficiency in common language / tools for AI/ML such as Python, PySpark. Understanding of software engineering topics, including version control, CI/CD, and unit tests. Problem Solving: A passion for solving puzzles and digging into data. Technology Stack: Familiarity with deploying data science products at scale in a cloud environment such as Snowflake, Databricks or Azure AI/ML Studio. BENEFITS Our competitive benefits package includes the following + Immediate eligibility for health and welfare benefits + 401(k) savings plan with dollar-for-dollar match up to 5% + Tuition Reimbursement + PTO accrual beginning Day 1 Note: Benefits may vary based upon position type and/or level QUALIFICATIONS - EDUCATION - Masters' or Bachelors plus 2 years of work experience above the minimum qualification - EXPERIENCE - 3 Years of Experience

Senior Data Scientist – Healthcare Journey Analytics

Product Development Scientist - Remote

From $104,930/yr

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions. Varian Medical Systems, a Siemens Healthineers company is seeking a Product Development Scientist to join our Interventional Oncology (IO) development team. The individual will be a member of our growing embolics team that is focused on treating cancers by delivery internal chemical/radiation therapy and occluding the blood supply to tumors. The individual would contribute by providing scientific expertise in their field to support product, process, and test method development of next generation intravascular medical devices. The individual would support preclinical, biological, and non-clinical studies required to characterize products, in addition to other assessments and regulatory submission support. The ideal candidate would be a self-driven individual with a passion for medical device development and a desire to work on products that change people’s lives.What You will do: Support studies to characterize products and processes related to product development of implantable intravascular therapies Design and conduct studies (pre-clinical, in vivo, in vitro, analytical) to assess new products and product applications Coordinate pre-clinical study tasks from study initiation to study completion Manage contracting with third party vendors including the development of timelines and cost estimates for preclinical tasks Develop protocols and final reports associated with pre-clinical work to support regulatory submissions for new designs or product improvements Develop and execute complex test plans involving significant data collection and interpretation, assessment of results, and incorporation of step for continuous design improvements Lead collaborations with toxicologists and pre-clinical experts to develop biocompatibility assessments based on ISO-10993 requirements Collaborate with regulatory affairs teams to write pre-submissions and full submissions for FDA 510(k) and/or PMA medical devices processes Collaborate with product development engineering to perform design verification and validation activities Collaborate with product development engineering to develop and maintain use risk hazard analyses, design failure modes and effects analyses, and other product risk documentation Write technical documentation including process descriptions and test methods Contribute to and maintain FDA compliant Design History Files (DHF) Execute process improvements as they relate to quality system compliance with FDA 510(k), QSR and ISO 13485 Perform other duties as assigned or required What You will have: BS in Biology, Biomedical Engineering, or related field; MS or PhD preferred 3+ years of scientific or engineering experience with preference to experience in medical device or other regulated industry; 5+ years is preferred Experience in the development and qualification of pre-clinical studies is required; Familiarity with the medical device Regulatory (FDA \& MDD) and Quality (QSR \& ISO 13485) issues or similarly regulated industry Working knowledge of Good Laboratory Practices (GLP), Good Manufacturing Practices (GMP) and Good Clinical Practices (GCP) Experience with design verification \& validation Able to define and develop test procedures and to perform design verification What will set You apart: Experience working within a company’s Quality System is preferred Experience in FDA pre-submission and submission preparation is preferred Experience in the development of regulated medical devices or combination products is preferred Experience in veterinary surgery is a plus Experience with interventional radiology or brachytherapy-related studies is preferred, including x-ray imaging and pre-clinical animal models Experience with biocompatibility ISO-10993 testing and requirements for implantable devices is preferred Experience in clinical and pre-clinical study workflow for embolic, radioembolic, or brachytherapy procedures is preferred * Knowledge of laboratory techniques such as chemical analysis (XRD, DSC, sizing, FTIR) and mechanical analysis is a plus #LS-OS1 Who we are: We are a team of more than 72,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways. How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual’s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world’s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. To find out more about Siemens Healthineers businesses, please visit our company page here. The base pay range for this position is: $104,930 - $144,276 Factors which may affect starting pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate. If this is a commission eligible position the commission eligibility will be in accordance with the terms of the Company's plan. Commissions are based on individual performance and/or company performance. The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan. life insurance, long-term and short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time. Equal Employment Opportunity Statement: Siemens Healthineers is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. EEO is the Law: Applicants and employees are protected under Federal law from discrimination. To learn more, click here. Reasonable Accommodations: Siemens Healthineers is committed to equal employment opportunity. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form here. If you’re unable to complete the form, you can reach out to our HR People Connect People Contact Center for support at peopleconnectvendorsnam.func@siemens-healthineers.com. Please note HR People Connect People Contact Center will not have visibility of your application or interview status. California Privacy Notice: California residents have the right to receive additional notices about their personal information. To learn more, click here. Export Control: “A successful candidate must be able to work with controlled technology in accordance with US export control law.” “It is Siemens Healthineers’ policy to comply fully and completely with all United States export control laws and regulations, including those implemented by the Department of Commerce through the Export Administration Regulations (EAR), by the Department of State through the International Traffic in Arms Regulations (ITAR), and by the Treasury Department through the Office of Foreign Assets Control (OFAC) sanctions regulations.” Data Privacy: We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. We ask instead that you create a profile in our talent community where you can upload your CV. Setting up a profile lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Register here to get started. Beware of Job Scams: Please beware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as Siemens Healthineers recruiters/employees. These scammers may attempt to collect your confidential personal or financial information. If you are concerned that an offer of employment with Siemens Healthineers might be a scam or that the recruiter is not legitimate, please verify by searching for the posting on the Siemens Healthineers career site. To all recruitment agencies: Siemens Healthineers does not accept agency resumes. Please do not forward resumes to our jobs alias, employees, or any other company location. Siemens Healthineers is not responsible for any fees related to unsolicited resumes.

Data Scientist – Healthcare Journey Analytics

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Description ### About Norstella Norstella is a premier and critical global life sciences data and AI solutions provider dedicated to improving patient access to life-saving therapies. Norstella supports pharmaceutical and biotech companies across the full drug development lifecycle — from pipeline to patient. Our mission is simple: to help our clients bring therapies to market faster and more efficiently, ultimately impacting patient lives. Norstella unites market-leading brands - Citeline, Evaluate, MMIT, Panalgo, Skipta and The Dedham Group and delivers must-have answers and insights, leveraging AI, for critical strategic, clinical, and commercial decision-making. We help our clients: Accelerate the drug development cycle Assess competition and bring the right drugs to market Make data driven commercial and financial decisions Match and recruit patients for clinical trials Identify and address barriers to therapies Evaluate is a global company providing outstanding market intelligence services for the Pharmaceutical, Medical Device, Financial and Consulting sectors, through the Evaluate Pharma®, Evaluate Medtech®, Evaluate Omnium and Evaluate Vantage® online brands. Our international clients in Pharma and Biotech, Medtech, Banking and Consultancy regard Evaluate Pharma® as the industry’s gold standard for timely and accurate analysis of reported drug sales, consensus sales forecasts, R\&D pipeline, markets and comprehensive company financials.### The Team In this role as a Generative AI Lead Scientist you will report into the Head of Data Science, within Norstella. Your role will be to work with a dedicate group of data scientists and developers to use LLMs and related technologies to design and build products which will help answer complex customer questions directly, with citations and sources. We have a multi-functional team consisting of pharmaceutical industry experts, R\&D, data engineering and data scientists to rapidly prototype using both our existing and newly acquired datasets across the pharmaceutical life cycle. ### Scope of the Role In this role as a Generative AI Lead Scientist you will: Work with our Product leadership within Norstella to define and shape new offerings using Generative AI Manage a team of data scientists and developers to provide Generative AI-enabled microservices to the front end dev team Manage a roadmap of Generative AI work, mixing new product development and enhancements to existing services Define reference architectures suitable to answer complex questions, including via code interpreting, LLM tool use and leveraging secondary data science models Coach and train a team of data scientists and developers to use these architectures Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to the data science team on these developments Perform other duties, as assigned ### How You'll Succeed Ultimately our goal is to smooth patient access to life-saving therapies. You will work with R\&D pharma specialists to understand a problem which is hindering developing and releasing effective new pharma products which we believe we can help with. After understanding the problem you will conceptualise potential solutions; this will involve breaking down the problem into individual steps, and identifying which of them can be solved with available LLMs and other algorithms. Finally, an overall solution can be packaged together with multiple models chained together, mixed with classical logic and business rules. After conceiving potential solution(s), you will define a set of projects for the data scientists and python developers to implement your solution as a proof-of-concept. You will deliver indicative results from your PoC into datasets for exploration by the broader multi-functional team. You will also perform code reviews with the data science team to examine their implementation and consider ways of strengthening the final codebase and methodology. After iterating the design with the multi-functional team as part of customer-led product development, you might convert your prototype into a full product. This will involve productionising code from you and the team to a high standard, containerisation, and deployment of the algorithm, usually as an API in AWS SageMaker, or for smaller pieces Lambdas which invoke models via API. Over time you may revisit this product, re-evaluate its performance, and redesign/improve as required.### Essential Requirements Degree at Masters level or better in a STEM field such as Maths, Physics, Computer Science, Engineering, or equivalent practical experience Leadership experience, line managing data scientists or other highly specialised professionals Excellent communication skills when working with a broader development and product team Knowledge of Scrum, Kanban, and other Agile methodologies, as well as breaking down tasks into Jira tickets Proven experience using LLMs and prompt engineering inside applications to solve problems not tractable with older techniques Excellent knowledge of python and core data science libraries including Pandas, NumPy and other similar libraries ### Nice to have Experience with AWS especially in relation to ML workflows with SageMaker, serverless compute and storage such as S3 and Snowflake Knowledge of the pharmaceutical industry, in particular the stages of pharmaceutical product development Ability to rapidly prototype new product ideas with a basic familiarity across the full stack, webapp to database Experience using external APIs in a production context ### Benefits 25 days annual leave, 4 days for volunteering and a personal day Flexible working and flextime policies 5% pension match Group Life Assurance (100% employer funded) Group Income Protection (100% employer funded) Other voluntary benefits such as: Dental, Cash Plan, PMI Excess Cover, Health Screening \& Critical Illness Maternity, Paternity \& Adoption leave Evaluate is an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people’s differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual’s abilities, skills, performance and behaviour and our business requirements. Evaluate operates a zero tolerance policy to any form of discrimination, abuse or harassment.*

Lead Data Scientist