Jobs in Cambridge

Member of Technical Staff, ML Engineer

Member of Technical Staff, ML Engineer 📍 Cambridge, MA · Hybrid, 3 days in office · Full time 🔬 THE OPPORTUNITY Join an early-stage team building AI systems to discover new physics at scale. Turn research code into reliable production systems and own the training and inference infrastructure behind AI-driven scientific discovery. ⚙️ WHAT YOU WILL OWN * Translate research code into dependable services with clear interfaces, meaningful tests and operational ownership. * Build services for launching experiments, routing across models and delivering results. * Own distributed ML jobs, GPU scheduling and model serving on a shared engineering platform. * Develop deep expertise in one area: distributed training, inference serving, ML platforms, or LLM gateway and agent infrastructure. 👤 WHAT YOU WILL BRING * 3+ years building and operating production ML training or inference infrastructure at meaningful scale, including ownership through failures. * 3+ years of software engineering on systems used by other engineers or researchers. Depth in at least one of: * Distributed training: PyTorch DDP/FSDP, Ray, multi-node jobs, checkpointing and performance. * Inference serving: vLLM, SGLang, Triton, batching, KV cache and quantization. * ML platforms: Kubernetes GPU scheduling, experiment tracking, registries and metering. * Gateways and agents: model routing, agent runtimes, sandboxes and evaluation infrastructure. 🔎 USEFUL EXPERIENCE * Debugging training loops, reward signals or inference behavior alongside researchers. * GPU infrastructure, CUDA or ML performance engineering. * GCP or AWS and infrastructure as code. * Experience turning research prototypes into production systems. 🤝 HOW THE TEAM WORKS High technical standards, simple designs and ownership from specification through deployment and on-call. Expect daily use of agentic coding tools and close collaboration with researchers. 💼 COMPENSATION Competitive salary, benefits and meaningful early-stage equity.

All-Source Intelligence Data Scientist

From $99,000/yr

Job Number: R0249693 All-Source Intelligence Data Scientist The Opportunity: Massive volumes of multi-INT data including structured, semi-structured, and unstructured, demand disciplined analysis to drive timely, mission-relevant insight. As a Data Scientist supporting All-Source Intelligence, you will fuse information across SIGINT, HUMINT, GEOINT, OSINT, and related sources to build analytical models, automate pipelines, and surface decision-quality assessments for senior leaders and operators. You’ll partner closely with intelligence professionals to translate collection requirements into repeatable, data-driven workflows, design and implement algorithms that uncover patterns of life, and deliver intuitive visualizations that accelerate sense-making and operational advantage. Work with us as we apply data science to advance national security missions. What You’ll Do * Engage stakeholders to elicit analytic questions and transform them into technical requirements and prioritized backlogs, and drive transparency through agile practices and frequent updates. * Design end-to-end data solutions: ingestion from collection systems and APIs, schema design and data storage, transformation/ETL, model training and evaluation, and operational delivery. * Develop statistical and machine learning models for entity resolution, anomaly detection, classification, clustering, and pattern-of-life analysis across multi-INT datasets. * Build dashboards and lightweight applications that communicate key insights, assessments, and confidence levels to audiences with varied technical backgrounds. * Guide teammates, set technical standards, and lead the evolution of analytic tradecraft leveraging modern data ecosystems. Join us. The world can’t wait. You Have: * 5+ years of experience in data science, including exploration, cleaning, analysis, visualization, or data mining, with demonstrated work across structured and unstructured sources * Experience in Python and SQL or R, and with Pandas or NumPy, scikit-learn, and model evaluation or tuning * Experience building ETL pipelines and querying APIs using tools such as Airflow or dbt, and Git-based version control * Experience developing predictive models and quantitative analyses that support intelligence assessments and operational decision-making * Experience applying NLP or text mining to reporting and open-source content * Experience integrating multi-INT data such as SIGINT, HUMINT, GEOINT, OSINT, or MASINT, and performing pattern-of-life analysis * Ability to synthesize narrative and quantitative findings * Active TS/SCI clearance; willingness to take a polygraph exam * Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Computer Science, or Data Analytics Nice If You Have: * Experience with Palantir Foundry, such as Pipeline Builder or AIP, or similar platforms for application development and data integration * Experience with distributed data and compute, such as Spark or Databricks, Hadoop or Hive, Kafka, or AWS EMR, and cloud environments used by the IC * Experience with geospatial analysis tools, such as ArcGIS or ArcPro, and GEOINT collection systems, and with Grafana, Power BI, or Tableau * Experience with deep learning frameworks, such as PyTorch or TensorFlow, and modern AI patterns such as retrieval-augmented generation (RAG) for analytic workflows * Experience supporting CCMDs, service components, or special operations * Master’s degree in a related technical field * DoD 8140 baseline Level II certification such as Security+, CySA+, or CISSP Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. * Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. * Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. * Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Modeling & Simulation Engineer

From $99,000/yr

Job Number: R0250526 Modeling \& Simulation Engineer The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data. On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can’t wait. You Have: * 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining * 5+ years of experience with statistical and general-purpose programming languages for data analysis * 5+ years of experience analyzing structured and unstructured data sources * Experience developing predictive data models, quantitative analyses and visualization of targeted data sources * Experience leading the development of solutions to complex programs * Experience with natural language processing, text mining, or machine learning techniques * Secret clearance * Bachelor’s degree Nice If You Have: * Experience in the development of algorithms leveraging R, Python, or SQL/NoSQL * Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL * Experience with visualization packages, including Plotly, Seaborn, or ggplot2 * TS/SCI clearance with a polygraph Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. * Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. * Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role. * Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Senior DevOps Engineer - Remote UK

From $25/yr

Who We Are At Partnerize, we're on a mission to transform the way businesses grow. We've built the leading partnership automation platform that empowers brands to discover, engage, and convert their audiences at scale. From affiliate marketing to influencer collaborations, we help our clients build and manage profitable partnerships that drive real results. We're a team of passionate problem-solvers who are dedicated to helping our clients win in the ever-evolving world of digital marketing. Why Join Us We're looking for passionate, talented people who want to be part of a winning team. At Partnerize, you'll find a culture of collaboration, innovation, and respect. We're guided by our core values, and we're committed to creating an environment where everyone can do their best work. We also offer a competitive salary, generous benefits, and a flexible work environment that allows you to thrive both personally and professionally. If you're ready to grow your career and make a difference, we'd love to hear from you. About the Role We're looking for a Senior DevOps Engineer to join our engineering team and champion the deployment architecture that drives our platform maturity. You'll be embedded within our engineering teams, optimizing day-to-day delivery across our on-premise estate while acting as the key engineering stakeholder to help shape, configure, and roll out our new Kubernetes platform, modernising how we deploy and scale workloads. This is a hands-on role with real impact. You won't be rubber-stamping tickets; you'll have true autonomy over our CI/CD pipelines, automated guardrails, and migration strategies, shaping how engineering safely and rapidly ships value to production. What You'll Be Doing BAU & Platform Stability Utilise and contribute to Ansible-based deployment automation to facilitate seamless product feature releases, adhering to established TechOps peer-review processes. Monitor application-level health within the cluster, collaborating with TechOps on incident response and driving post-mortems for engineering-led deployments. Maintain clear documentation, deployment runbooks, and developer self-service guides to streamline the engineering onboarding and release processes. Kubernetes Represent Engineering as a key stakeholder in platform design: Collaborate with TechOps to shape engineering self-service workflows, guardrails, and standards. This includes contributing requirements for Kubernetes primitives (such as Gateway API, RBAC, admission controllers, and resource policies) to ensure engineering teams can move fast safely, without compromising core platform stability. Standardise application-level configurations: Work alongside TechOps to establish clear engineering standards within the namespaces for ingress, RBAC, namespacing strategy, and secrets management. Drive phased application migrations: Partner with engineering teams to containerise and migrate existing workloads to Kubernetes, starting with non-critical environments to establish confidence before moving business-critical systems. Build robust deployment pipelines: Establish CI/CD workflows for Kubernetes-based deployments (using Helm, Kustomize, ArgoCD, or similar) with automated guardrails to ensure fast, repeatable, and safe code delivery. Implement application observability: Set up application-level metrics, logging, and alerting within the namespaces, ensuring engineering teams have the visibility they need to monitor workload health. Create developer self-service documentation: Document deployment runbooks, manifest templates, and best practices so that engineers can onboard and self-serve safely within the established guardrails. What We're Looking For Must-Have Strong interpersonal and communication skills : we're a people-first culture where teamwork is paramount. On highly technical projects with many moving parts, the ability to collaborate openly, communicate clearly, and bring people with you is just as important as technical ability Strong, demonstrable experience with Ansible : roles, inventories, vault, idempotency, the lot Comfortable with Docker and Docker Compose in production environments Understanding of networking fundamentals Strong scripting ability: Bash and Python Experience with GitOps tooling: ArgoCD or Flux Experience with observability tooling (Prometheus, Grafana, Loki, Alertmanager or equivalent) Ability to think creatively within constraints and plan pragmatically around them: our stack is real-world, not greenfield-perfect, and we need someone who can deliver iteratively, working with what exists today while roadmapping towards the ideal state A methodical, security-conscious approach Nice-to-Have Familiarity with Helm chart authoring and management Experience with infrastructure-as-code tools such as Terraform (even in an on-prem context) Experience with secrets management tooling (HashiCorp Vault, Sealed Secrets, External Secrets Operator) Prior experience in a role where you balanced greenfield work alongside BAU responsibilities The Kind of Person We're After You're comfortable being the person engineering teams come to when something's on fire, and you're also comfortable saying "let me schedule that properly" when it isn't You can hold your own in a conversation with a software engineer, a network engineer, and senior leadership even if they all want different things You write things down. Runbooks and diagrams: you treat documentation as part of the job, not an afterthought You have opinions about how things should be done, but you're pragmatic; you know when to pick the right tool vs. the perfect tool Autonomously drive outcomes : we're looking for people who demonstrate intent and take initiative, not those who wait to be told what to do next What We Offer True ownership of the delivery lifecycle: The autonomy to shape how we ship code, build pipelines, and automate guardrails, moving entirely away from manual ticket execution. A pivotal role in our cloud-native transformation: The opportunity to act as the key engineering stakeholder shaping our migration to Kubernetes, partnering closely with TechOps to build a modern, scalable platform. A progressive engineering culture: A collaborative, forward-thinking team that values automation, continuous improvement, and building modern delivery standards. We welcome applications from candidates who don't tick every box. If you've got strong Ansible and Kubernetes experience and the right mindset, we'd love to hear from you. UK Benefits & Perks 25 days holiday in addition to bank holidays Enhanced Parental Leave: 6 months full pay for birth parent, 4 weeks non-birth parent at full pay after one year employment 5 extra 'Partnerize Parental Days' each year Private Medical and Dental Insurance Enhanced pension contributions Cycle to Work scheme Eye Care Vouchers Life Assurance Enhanced Wellness Program including access to EAP, Wellness Coaching & Wellness Programs Regular company events and activities Our Commitment to Diversity & Inclusion We are committed to attracting, developing, and advancing our outstanding team members, regardless of race, ethnic identity, sexual orientation, religion, age, gender, gender identity, physical abilities, or any other dimension of diversity. We strive to foster an environment where people can be their authentic selves, raise concerns and innovate, all without fear; where they are treated fairly and respectfully, have equal access to opportunities and resources and can contribute fully to the organization's success. Every individual in our business is expected to live this commitment without exception. Privacy and data protection . The data collected as part of this application will be used for the recruitment process and any subsequent employment. You can find further information in Partnerize privacy policy here: https://partnerize.com/privacy-policy/ Notice to Recruiters and Staffing Agencies: To protect the interests of all parties, Partnerize will not accept unsolicited resumes from any source other than directly from a candidate or an approved vendor that has a written and signed agreement in place with Partnerize. Please do not contact or forward resumes to our company employees or locations. Any unsolicited resumes will be considered Partnerize property. Partnerize is not responsible for any charges or fees related to unsolicited resumes. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Principal Scientist, Translational Informatics and Predictive Sciences

From $166,770/yr

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it. Principal Scientist, Translational Informatics and Predictive Sciences When you join BMS, you are joining a high-achieving team united by a common mission. The Informatics and Predictive Sciences (IPS) mission is to Pioneer, Partner and Predict to drive transformative insights for patient benefit. IPS conducts applied computational research in areas that include genomic, structural and molecular informatics, computational and systems biology, patient selection and translational biomarker research, and broader fields including knowledge science, epidemiology and machine learning—across the full lifecycle of drug discovery and development and across all therapeutic areas at BMS. We do this in close partnership with scientific and clinical experts in the field, both inside and outside the company. We perform innovative science to empower key data-driven decisions across a rich pipeline of next-generation medicines. In doing so, our work transforms the lives of patients, as well as our own lives and careers. Here, you’ll get the chance to grow and thrive through opportunities that are uncommon in scale and scope. You’ll pursue innovative ideas while advancing professionally alongside some of the brightest minds in biopharma. The Principal Scientist will apply cutting-edge bioinformatics, statistical, modeling, and computational biology approaches to analyze large-scale clinical datasets and drive translational insights across the BMS solid tumor oncology portfolio. This role focuses on both clinical and real-world patient datasets to discover biomarkers, elucidate disease biology, and inform development strategies for the pipeline. The Principal Scientist will have a direct impact on advancing therapies for patients and accelerating scientific understanding of disease biology and therapeutic response. Essential to this role are the ability to harness the potential of AI, to translate data and analysis into scientific impact, and to think creatively about complex scientific problems. Position Responsibilities * You will partner with biomarker scientists, clinical development teams, and preclinical researchers to design and execute computational strategies for clinical and translational studies. * You will analyze high-dimensional molecular datasets to generate mechanistic insights into treatment response and resistance. * You will apply and/or develop ML/AI methods to extract patterns from multi-omics and real-world datasets, including predictive modeling, feature selection, and data integration across modalities. * You will provide scientific leadership and mentorship, shaping analytical best practices and elevating the use of AI-enabled approaches across the team. * You will communicate scientific results clearly and persuasively to decision-making bodies across R\&D, translating complex analyses into actionable recommendations that influence cross-functional strategy. Education \& Experience * Bachelor's Degree 8+ years of academic / industry experience * Or Master's Degree 6+ years of academic / industry experience * Or PhD 4+ years of academic / industry experience Required Qualifications * Experience with high-throughput molecular data, such as next-generation sequencing, single-cell technologies, proteomics, or others. * Proficiency in R and/or Python, with a demonstrated ability to leverage AI in scientific work, including hands-on experience with agentic AI coding tools. * Strong understanding of fundamental statistical methods. * Growth mindset with a passion for continuous learning. * Strong problem-solving skills, creativity, and scientific rigor. * Excellent communication, data visualization, and presentation skills, with a demonstrated ability to communicate your work and influence cross-functionally. Preferred Qualifications * Experience with spatial ’omics datasets and methods. * Demonstrated experience applying machine learning methods to scientific problems. * Prior experience in oncology. * Prior experience in drug development at a biopharmaceutical company, in translational sciences, discovery, or early clinical development. We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway. Compensation Overview Cambridge Crossing: $166,770 - $202,086 Princeton - NJ - US: $145,020 - $175,728 The starting pay range(s) listed above is for full-time employees (FTE). You may also be eligible for additional discretionary incentive cash and stock opportunities. We determine starting pay thoughtfully – carefully considering the nature of the role, required skills, work location, schedule and the knowledge and experience you bring. Final compensation is guided by pay equity principles and applicable employment laws. Compensation programs are reviewed on an ongoing basis and may be adjusted over time to reflect evolving market factors, and individual, team or Company performance. Benefits Subject to the terms and conditions of the applicable plans then in effect, you may be eligible to participate in our comprehensive benefit plans – including wellbeing support, retirement and financial protection benefits, and insurance offerings (medical, dental, vision, life and disability). U.S.-based exempt employees are eligible for Flexible Time Off (FTO), which provides paid time off without a set accrual limit, subject to manager approval, along with 11 paid company holidays each year. Non-exempt employees, RayzeBio employees, and employees located in Puerto Rico receive 160 hours of paid vacation annually for new hires (subject to manager approval), 11 paid company holidays, and 3 optional holidays. Depending on eligibility, employees may also have access to additional time-off benefits, including paid sick leave, up to two paid volunteer days per year, summer hours flexibility, and leaves of absence for medical, personal, parental, caregiver, bereavement, or military needs. Eligible employees also enjoy an annual Global Shutdown between Christmas Day and New Year's Day. U.S.-based job seekers can explore full benefit offerings at https://careers.bms.com/benefits How We Work Where you work matters – because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working. Supporting People With Disabilities BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement. Candidate Rights BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. For roles based in Los Angeles County only: If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/ Data Protection We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection. Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. If this posting is missing required information required by local law or incorrect, contact BMS at TAEnablement@bms.comwith the Job Title and Requisition number. Do not send application-related inquiries to this email. To check your application status, please login to your Candidate Home Account. R1606915 : Principal Scientist, Translational Informatics and Predictive Sciences

Full Time Certified Nursing Assistant

From $500/yr

Certified Nursing Assistant (CNA / C.N.A.) Full Time 7 - 3 Shift The Neville Center at Fresh Pond a Five Star, Joint Commission, American Healthcare Association Award-winning, short-term rehab, long term, and skilled nursing care community. We are conveniently located on the Cambridge/Belmont line. We are dedicated to our residents and team members- come join us! We are seeking highly motivated and qualified part time Certified Nursing Assistant (CNA / C.N.A.) to join our nursing department. Certified Nursing Assistant (CNA / C.N.A.) Sign on Bonus - $1,500 for full-time The Neville Center at Fresh Pond is a Joint Commission, American Healthcare Association Silver Medal Award-winning, short-term rehab, long term, and skilled nursing care community. We are conveniently located in the Cambridge by the beautiful Fresh Pond Parkway. If you are looking for a fast pace, quality facility- then this is the job for you! We are dedicated to our residents and team members- come join us! The Neville Center at Fresh Pond is located in Cambridge, close to the Belmont line. As the Certified Nursing Assistant (C.N.A.) some of your essential job responsibilities include: * Provides care to participants as directed and as outlined in the plan of care. * Assists participants with activities of daily living and/or provide all necessary care for participants who are dependent. * Utilizes nursing assistant techniques to provide care to participants in a manner that promotes as much individual independence as possible. Such techniques include walking, transfer assistance, range of motion, eating, bathing, dressing and bed mobility. * Applies knowledge of infection control, fire and disaster policies as needed. * Participates in continuing education and meets the requirements for annual in-service participation. * Performs other duties as assigned. QUALIFICATIONS for the Certified Nursing Assistants (CNA): * A current certification as a Certified Nursing Assistant in the Massachusetts. * Must be able to read, write and understand English. Other languages are helpful. * Has basic math skills including the ability to add, subtract, multiply and divide We offer the following incentives for the Certified Nursing Assistants (CNA) : * Competitive rates, outside the market including generous shift differentials for afternoons, nights and weekends. * Weekly pay! Every Friday! * A comprehensive, outstanding benefit package including health, dental, vision and outstanding time off. * 100% paid by employer life, accidental death and dismemberment, and long-term disability insurance. * 403(b) retirement plan. * Monthly Employee Recognition and Fun Program * Free onsite parking * Unlimited Employee Referral Bonuses * On the MBTA bus line, close to the Alewife Red Line Station A Landmark Management Solutions, LLC Organization Equal Opportunity Employer INDNLP25

Principal Scientist, Imaging Analytics

From $117,000/yr

At Johnson \& Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com As guided by Our Credo, Johnson \& Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson \& Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function Data Analytics \& Computational Sciences Job Sub Function Data Science Job Category Scientific/Technology All Job Posting Locations: Cambridge, Massachusetts, United States of America, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America Job Description About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine We are seeking a Principal Scientist, Imaging Analytics to join Interventional Oncology (INTO) and lead the scientific application of medical imaging Artificial Intelligence across our early-phase oncology portfolio. In this role, you will transform routinely collected oncology trial scans (CT, MRI, PET) into earlier, evidence-based clinical-development decisions. You will advance foundational imaging-AI capabilities, develop novel quantitative imaging metrics, and deliver insights that enhance response assessment, dose optimization, and go/no-go decisions. This is a high-impact, high-visibility role for a scientist who is passionate about translating cutting-edge imaging AI from research into real-world clinical impact. You will serve as a scientific bridge across data science, clinical development, and external partners. This position can be based in New Brunswick/Raritan, NJ; Spring House/Horsham, PA; or Boston, MA. Key Responsibilities * Lead end-to-end AI applications on trial imaging data (CT, MRI, PET) for quantitative imaging measures and AI-derived endpoints. * Collaborate internally and externally to drive scientific innovation in foundational imaging AI that are relevant to oncology drug development — including automated segmentation, radiomics, and multimodal predictive modeling through hands-on research. * Translate imaging-derived evidence into actionable insights by converting complex quantitative findings into clear scientific narratives and engaging cross-functional stakeholders * Provide scientific leadership to external partnerships — including imaging AI vendors, CROs, biomarker companies, academic centers, and imaging OEMs — to accelerate model development, validation, and deployment. * Publish and present scientific innovation at top scientific and clinical conferences (e.g., MICCAI, AACR, RSNA, etc.) Required Knowledge, Skills And Abilities * Ph.D. in Computer Science, Biomedical Engineering, Electrical Engineering, or a related quantitative field. * 3+ years of post-doctoral or industry experience developing AI/ML for medical imaging (CT, MRI, PET) in a clinical setting. * Hands-on expertise across the medical imaging AI stack: deep learning (segmentation, detection, classification, registration), radiomics, and multimodal predictive modeling. * Proficiency in Python and PyTorch, with practical experience in medical-imaging libraries such as MONAI, SimpleITK, ITK, PyRadiomics, nnU-Net, 3D Slicer, and OpenCV. * Experience with cloud ML infrastructure and MLOps practices for scalable training and inference on imaging data. * Extensive experience with the full imaging data workflow: DICOM I/O, visualization, registration, harmonization, annotation, and segmentation of 3D medical images. * Strong peer-reviewed publication record and demonstrated ability to communicate complex scientific concepts to both technical and cross-functional audiences. Preferred * Experience in analyzing solid-tumor imaging, particularly lung and head \& neck (H\&N). * Track record of developing and applying AI/ML to oncology imaging and within oncology clinical trials. * Familiarity with standard oncology endpoints (e.g., RECIST 1.1, iRECIST, PERCIST). * Experience building and scaling clinical or imaging AI platforms end-to-end, including data ingestion, harmonization, model inference, visualization, and continuous monitoring. * Experience in sourcing, structuring, and managing external partnerships with imaging-AI vendors, CROs / imaging core labs, biomarker companies, and academic centers. Johnson \& Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson \& Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. #JRDDS #JNJDataScience #JRD Required Skills Preferred Skills: Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis The anticipated base pay range for this position is : $117,000.00 - $201,250.00 Additional Description For Pay Transparency Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). Benefits Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year Holiday pay, including Floating Holidays –13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year Caregiver Leave – 80 hours in a 52-week rolling period10 days Volunteer Leave – 32 hours per calendar year Military Spouse Time-Off – 80 hours per calendar year For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

Senior Principal Investigator, Physical AI for Autonomous Discovery

$137,000 - $235,750/yr

At Johnson \& Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com. As guided by Our Credo, Johnson \& Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson \& Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function Data Analytics \& Computational Sciences Job Sub Function Data Science Job Category Scientific/Technology All Job Posting Locations: Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America Job Description Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson \& Johnson Innovative Medicine is recruiting for a Senior Principal Investigator, Physical AI for Autonomous Discovery to join our In Silico Drug Discovery team. The preferred location for this position is Spring House, PA (Philadelphia area) and may require travel as needed. Consideration may be given for candidates near the Cambridge, MA area. (No remote option.) Reporting to the Director, Physical AI for Autonomous Discovery, the Senior Principal Investigator will serve as a hands-on scientific and technical leader developing Physical AI capabilities for autonomous laboratory experimentation. This individual-contributor role combines AI, robotics, laboratory automation, and scientific reasoning to design, implement, and validate systems that perceive laboratory state, recommend actions, learn from experimental data, recover from errors, and improve experimental outcomes. Key Responsibilities * Lead the hands-on design, development, and validation of AI models that represent instruments, samples, reagents, robotic systems, workflows, and laboratory state. * Develop and evaluate adaptive experimental optimization methods using active learning, Bayesian optimization, reinforcement learning, and multi-objective optimization. * Implement capabilities for physical error detection and correction, including anomaly recognition, root-cause assessment, workflow replanning, recovery actions, and appropriate human escalation. * Build models that generate testable hypotheses for experimental failures, unexpected results, variability, and irreproducibility, and recommend discriminating follow-up experiments. * Develop agentic and multi-agent capabilities that support experiment planning and execution monitoring across Design-Make-Test-Analyze cycles. * Translate scientific and operational needs into technical requirements, prototypes, and production-ready capabilities in partnership with automation, robotics, data science, engineering, and discovery scientists. * Provide technical guidance, establish scientific best practices, and mentor colleagues without formal people-management responsibility. * Embed calibrated uncertainty, safety constraints, monitoring, traceability, and governance into autonomous decision-making, escalating strategic tradeoffs to the Director as appropriate. Key Skills Physical AI \& World Models: Embodied AI, multimodal perception, state estimation, digital twins, and predictive models of laboratory systems. Autonomous Experimentation: Active learning, Bayesian optimization, sequential design, reinforcement learning, and multi-objective optimization. Error Intelligence: Anomaly detection, fault diagnosis, causal reasoning, hypothesis generation, recovery planning, and uncertainty quantification. Robotics \& Automation: Laboratory robotics, liquid handling, sensors, machine vision, orchestration, scheduling, and instrument integration. Agentic AI: Scientific agents, multi-agent coordination, planning, tool use, memory, guardrails, and human-on-the-loop controls. Scientific Software Python and modern AI/ML frameworks; production model deployment, APIs, data pipelines, observability, and MLOps. What Success Looks Like * Prototype and production capabilities measurably reduce unplanned intervention by detecting, diagnosing, and supporting recovery from laboratory execution failures. * AI-generated hypotheses explain experimental anomalies and guide informative follow-up experiments that improve data quality and learning efficiency. * Closed-loop optimization methods are validated against clear scientific and operational benchmarks for quality, throughput, reproducibility, and decision-making. * Technical workstreams progress from proof of concept to reliable deployment through documented designs, reproducible evaluation, and effective cross-functional execution. * The individual partners closely with the Director and with J\&J IT and Data, Data Science \& AI, automation, and scientific teams to deliver robust, secure, and governed agentic capabilities. Qualifications * PhD in artificial intelligence, machine learning, robotics, computer science, engineering, computational biology, or a related quantitative field, with substantial relevant research or industry experience. * Demonstrated track record of independently developing and deploying AI systems in physical, scientific, or similarly complex environments. * Deep expertise in multiple relevant areas, such as world models, reinforcement learning, Bayesian optimization, causal inference, multimodal AI, robotics, or scientific machine learning. * Advanced software-development skills, including Python, modern machine-learning frameworks, experimental software design, testing, and reproducible deployment practices. * Ability to define technical workstreams, solve ambiguous scientific problems, and deliver robust solutions with limited day-to-day direction. * Strong communication, collaboration, and influence skills for working effectively across multidisciplinary teams in a matrix environment. * Preferred Experience * Self-driving laboratories, laboratory automation, or closed-loop scientific experimentation. * Vision-language-action models, digital twins, machine vision, robotic control, or multi-agent systems. * Biologics, drug discovery, life sciences, or another complex experimental domain. * Deployment of safety-critical or high-reliability AI systems with monitoring and governance controls. The preferred location for this position is Spring House, PA (Philadelphia area) and may require travel as needed. Consideration may be given for candidates near the Cambridge, MA area. (No remote option.) Johnson \& Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. If you are under 18 years of age, you (the candidate) may need to obtain the necessary working papers or other documentation required by state law to start the assignment, as well as get a parent’s consent for the background check. Johnson \& Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $137,000 to $235,750. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). Employees Are Eligible For The Following Time Off Benefits Vacation – up to 120 hours per calendar year Sick time - up to 40 hours per calendar year Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. #JNJDataScience #JNJIMRND-DS #JRDDS Required Skills Preferred Skills: Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Mentorship, Strategic Thinking, Tactical Planning, Technical Credibility

Director, Data Science - GenAI - Neuroscience

$164,000 - $282,900/yr

At Johnson \& Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com. As guided by Our Credo, Johnson \& Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson \& Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function Data Analytics \& Computational Sciences Job Sub Function Data Science Job Category People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson \& Johnson Innovative Medicine is recruiting for Director, Data Science – GenAI – Neuroscience to join our J\&J Research and Development Data, Data Science, and AI (DDSAI) team. This position will be located at one of our US sites (Raritan, NJ; Titusville, NJ; Cambridge, MA; Spring House, PA; San Diego, CA). Position Summary The Director will lead the design, development, and deployment of AI, generative AI, and agentic AI workflow solutions for Neuroscience R\&D, working across datatypes, including clinical, omics and other molecular data, and medical imaging data. Working closely with scientists and data teams, the candidate will translate priority research needs into scalable tools and capabilities (e.g., AI co-scientists) that improve how scientific information is discovered, integrated, and used by scientists, in a way that stays current with evolving scientific advances. This hands-on leader will set technical direction, guide multidisciplinary delivery, establish evaluation and responsible AI practices, and build the reusable solutions within the enterprise platforms, in partnership with cross-functional teams in DDSAI and the Neuroscience TA (therapeutic area). The role is accountable for the platform build and evolution, scientific rigor and evaluation, user adoption, and measurable value from the Neuroscience AI portfolio. Why This Role Is Unique This is a senior AI seat for Neuroscience R\&D, with genuine latitude over what gets built and why. You inherit a production agentic platform (runtime, orchestration, registered corpus, permission model, evaluation registry) and a voice in where it goes next, so your time goes to the part that cannot be outsourced to a model: strategic and hands-on investment in the platform to get the science right. The measure of success at twelve months is platform usage by the neuroscientists who move faster with high scientific accuracy, and a strategic Neuroscience AI plan that leadership funds because you argued for it with evidence. Your work will directly accelerate Johnson \& Johnson's scientific discovery, fuel AI innovation, and impact patients globally. Key Responsibilities * Set the Neuroscience AI strategy, portfolio, roadmap, and measures of value. * Build and deploy scalable agentic AI and generative AI solutions for priority scientific needs. * Own delivery, investment decisions, and outcomes for the Neuroscience AI portfolio. * Ensure scientific rigor, appropriate evidence use, and reliable domain representation. * Establish evaluation standards, expert validation, and responsible AI practices. * Shape shared platform capabilities and develop reusable solutions aligned with enterprise architecture. * Guide multidisciplinary teams and maintain strong engineering and lifecycle practices. * Partner with scientists and leaders to prioritize needs, validate solutions, and drive adoption. * Communicate technical choices, risks, progress, and impact to senior stakeholders. Qualifications * PhD in computer science, computational biology, genetics, genomics, medical informatics, or a related quantitative field; or MS with additional relevant experience. * 8+ years of experience in pharmaceutical, biotech, or healthcare analytics, with experience setting technical direction. * Within the last 18 months, you should have hands-on experience building agentic systems and deploying AI, NLP, or generative AI solutions, leveraging LLMs, retrieval, grounding, and evaluation. * Strong ability to critically assess scientific evidence, with optional expertise in neuroscience. * Strong Python skills and sound software engineering practices. * Experience leading multidisciplinary technical delivery and influencing across organizational boundaries. * Demonstrated ability to define priorities, make evidence-based tradeoffs, and deliver measurable value. * Strong communication skills with technical, scientific, and senior non-technical stakeholders. * Experience developing within shared platforms, architecture standards, and governance frameworks. * Experience with genetics, multi-omics, imaging, ontologies, or scientific knowledge systems preferred. * Exposure to regulated environments, AI governance, and human-in-the-loop systems is preferred. * Optional: industry experience in drug discovery, clinical development, neuroscience. This position will be located at one of our US sites (Raritan, NJ; Titusville, NJ; Cambridge, MA; Spring House, PA; San Diego, CA). Travel may be required as needed. Johnson \& Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. If you are under 18 years of age, you (the candidate) may need to obtain the necessary working papers or other documentation required by state law to start the assignment, as well as get a parent’s consent for the background check. Johnson \& Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $164,000 to $282,900. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). Employees Are Eligible For The Following Time Off Benefits Vacation – up to 120 hours per calendar year Sick time - up to 40 hours per calendar year Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. #JNJDataScience #JNJIMRND-DS #JRDDS Required Skills Preferred Skills: Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Program Management, Strategic Thinking, Succession Planning

Director, Physical AI for Autonomous Discovery

$164,000 - $282,900/yr

At Johnson \& Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com. As guided by Our Credo, Johnson \& Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson \& Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function Data Analytics \& Computational Sciences Job Sub Function Data Science Job Category People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America Job Description Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson \& Johnson Innovative Medicine is recruiting for a Director, Physical AI for Autonomous Discovery to join our In Silico Drug Discovery team. The preferred location for this position is Spring House, PA (Philadelphia area) and may require travel as needed. Consideration may be given for candidates near the Cambridge, MA area. (No remote option.) Role Summary The Director, Physical AI for Autonomous Discovery is a key leader who will define the Physical AI strategy and lead a focused team developing models that enable autonomous laboratory experimentation. This role combines AI, robotics, laboratory automation, and scientific reasoning to create systems that perceive, reason, act, learn, recover from errors, and continuously improve experimental outcomes. Key Responsibilities * Define and execute the Physical AI strategy, build and lead a high-performing team, and establish a roadmap aligned with scientific priorities and business objectives. * Develop AI models that understand and reason about instruments, samples, reagents, robotic systems, workflows, and laboratory state. * Build adaptive experimental optimization capabilities using active learning, Bayesian optimization, reinforcement learning, and multi-objective optimization. * Create systems for physical error detection and correction, including anomaly recognition, root-cause assessment, workflow replanning, recovery actions, and appropriate human escalation. * Develop models that generate hypotheses for experimental failures, unexpected results, variability, and irreproducibility, and recommend discriminating follow-up experiments. * Design agentic and multi-agent systems that coordinate experiment planning, execution monitoring, data interpretation, and decision-making across Design-Make-Test-Analyze cycles. * Partner with automation, robotics, data science, engineering, and discovery scientists to deploy reliable closed-loop learning in real laboratory environments. * Embed calibrated uncertainty, safety constraints, monitoring, traceability, and governance into autonomous decision-making. What Success Looks Like * Laboratory systems detect, diagnose, and recover from execution failures with fewer unplanned interventions. * AI-generated hypotheses explain experimental anomalies and guide informative follow-up experiments. * Closed-loop optimization improves experimental quality, throughput, reproducibility, and scientific decision-making. * Autonomous capabilities progress safely from AI-assisted automation to self-improving discovery workflows. * Work closely with J\&J IT and Data, Data Science \& AI partners to deliver a robust and secure agentic platform. Key Skills Physical AI \& World Models Embodied AI, multimodal perception, state estimation, digital twins, and predictive models of laboratory systems. Autonomous Experimentation Active learning, Bayesian optimization, sequential design, reinforcement learning, and multi-objective optimization. Error Intelligence Anomaly detection, fault diagnosis, causal reasoning, hypothesis generation, recovery planning, and uncertainty quantification. Robotics \& Automation Laboratory robotics, liquid handling, sensors, machine vision, orchestration, scheduling, and instrument integration. Agentic AI Scientific agents, multi-agent coordination, planning, tool use, memory, guardrails, and human-on-the-loop controls. Scientific Software Python and modern AI/ML frameworks; production model deployment, APIs, data pipelines, observability, and MLOps. Qualifications * PhD in artificial intelligence, machine learning, robotics, computer science, engineering, computational biology, or a related quantitative field. * Demonstrated experience developing AI systems that operate in physical or scientific environments. * Deep expertise in several relevant areas, such as world models, reinforcement learning, Bayesian optimization, causal inference, multimodal AI, robotics, or scientific machine learning. * Strong software-development skills, including Python and modern machine-learning frameworks. * Ability to translate scientific and operational requirements into robust, scalable AI models and to communicate across multidisciplinary teams. * Strong collaboration skills to work in matrix environment. Preferred Experience * Self-driving laboratories, laboratory automation, or closed-loop scientific experimentation. * Vision-language-action models, digital twins, machine vision, robotic control, or multi-agent systems. * Biologics, drug discovery, life sciences, or another complex experimental domain. * Deployment of safety-critical or high-reliability AI systems with monitoring and governance controls. The preferred location for this position is Spring House, PA (Philadelphia area) and may require travel as needed. Consideration may be given for candidates near the Cambridge, MA area. (No remote option.) Johnson \& Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. If you are under 18 years of age, you (the candidate) may need to obtain the necessary working papers or other documentation required by state law to start the assignment, as well as get a parent’s consent for the background check. Johnson \& Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $164,000 to $282,900. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). Employees Are Eligible For The Following Time Off Benefits Vacation – up to 120 hours per calendar year Sick time - up to 40 hours per calendar year Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. #JNJDataScience #JNJIMRND-DS #JRDDS Required Skills Preferred Skills: Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Program Management, Strategic Thinking, Succession Planning

Product Owner

From $270/yr

About Us Qureight’s mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay. Our AI-powered data and imaging curation platform enables the analysis of clinical imaging and other healthcare data, helping our customers bring treatments to market, faster. We’re looking for talented people who want their work to matter. With offices in Cambridge and London, you’ll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials. About The Role We are looking for a technically-minded Product Owner to support the development of Qureight’s imaging platform that orchestrates complex workflows across a growing number of global trial sites and studies. The imaging platform supports two major customers. Firstly, our internal Clinical Operations team use the platform and its admin tooling to manage users, sites, and project onboarding. Secondly, our external clinical trial site users and pharmaceutical sponsors access different products hosted on the platform. The Product Owner will own agile delivery for the Platform team: taking the requirements, priorities and roadmap set by the Head of Product Management and turning them into well-defined, technically sound work the team can build. The Head of Product Management owns the product roadmap, prioritisation, and all direct engagement with Clinical Operations, site users and sponsors. Your role picks up from there: translating agreed requirements into technical and architectural decisions, breaking them into implementation-ready user stories and tasks, and running the Platform team's day-to-day agile process (sprint planning, refinement, and review) so that what gets built matches both the customer requirement and represents sound engineering practice. Product Owners at Qureight tend to be technical by background, often coming from a development role, since a large part of this job is working directly alongside engineers on the implementation approach, not just defining what to build. What You Will Do The Product Owner will provide outstanding product ownership and requirements management for the Platform team, including: * Agile delivery ownership. Run the Platform team's day-to-day agile process (sprint planning, backlog refinement, and prioritisation within the sprint), turning requirements and priorities set by the Head of Product Management into a well-organised, appropriately-sized backlog. * Requirements translation. Take user requirements and priorities defined by the Head of Product Management and translate them into clear technical and architectural decisions the Platform team can build against. * Story \& task breakdown. Break requirements down into implementation-ready user stories and technical tasks, working directly with engineers on approach and sequencing. * Acceptance criteria \& test specs. Define acceptance criteria and test specifications for backlog items, and validate delivered work against them before it reaches users. * Engineering partnership. Work embedded within the Platform team through planning, refinement, and review ceremonies, effectively part of the engineering team from a process and delivery perspective. * UX input. Bring a UX-informed perspective to feature design and prioritisation, especially for the products that external site users and sponsors interact with directly (e.g. Central Read system, upload UI, and sponsor dashboard), as well as the Clinical Operations admin tooling. * Technical input upward. Act as the Platform team's main point of contact for the Head of Product Management, surfacing technical constraints, feasibility, and delivery risk that should inform prioritisation and roadmap decisions. * GxP-aware delivery. Ensure requirements and backlog items affecting GxP-relevant systems are documented and validated in line with Qureight's ISMS and Management of Software Policy. Requirements What we need To Thrive In This Role, You'll Need * Previous experience as a Product Owner, or as a developer/engineer moving into a product ownership or delivery-focused role, working directly within an engineering team. * Solid hands-on experience with Agile ways of working, including running sprint planning, refinement, and retrospectives. * Strong JIRA skills, with proven experience structuring and managing epics and backlogs. * Comfortable engaging in technical and architectural discussions, and translating requirements into implementation-ready stories and tasks. * Ability to write clear acceptance criteria and test specifications. * Strong written and verbal communication skills, comfortable working between technical teams and Product stakeholders. * Comfortable managing a backlog and delivery cadence in a fast-moving, resource-constrained environment. * Some UX experience (e.g. usability testing, wireframing), useful when translating requirements into implementation but not core to the role. * Experience working on products used in clinical trials, healthcare, or another regulated environment. * Familiarity with GxP, ISO 27001, or computerised system validation (CSV) concepts. Even better if * A software engineering or development background, or other hands-on technical experience. Benefits What can you expect from us * A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, cycle-to-work scheme, and a contributory pension scheme * Equity, so that our team can share in the long-term success of Qureight * 28 days’ holiday allowance, 25 days’ annual leave and 3 additional company days between Christmas and New Year, plus bank holidays and enhanced family leave * A diverse work environment that brings together experts in many fields, including software engineering, DevOps, data science, machine learning, quality assurance, regulatory affairs, and clinical operations. How To Apply Please upload a CV and covering letter by clicking 'Apply Now'. Your covering letter should explain why you are applying for the job and what skills and experience you can bring to the role. We review CVs as we receive them and interview as soon as we have applications that look like a good match (usually within one week). We do not use closing dates. So, please apply as soon as possible to avoid missing out on this role. We advertised this role on Monday 28th September 2026. If you have any queries, please contact careers@qureight.com. Everyone is welcome at Qureight. We are an equal opportunities employer and encourage applications from all suitably qualified candidates regardless of age, disability, ethnicity, sex, gender reassignment, religion or belief, sexual orientation, marriage and civil partnership, or pregnancy and maternity. Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply – you may be a great fit, even if you don’t meet every qualification. We’d love to hear from you.

Summer intern, Digital Signal/ Imaging AI

From $503/yr

At Johnson \& Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com. As guided by Our Credo, Johnson \& Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson \& Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function Career Programs Job Sub Function Non-LDP Intern/Co-Op Job Category Career Program All Job Posting Locations: Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Leiden, Netherlands, Titusville, New Jersey, United States of America, Zug, Switzerland Job Description Summer intern, Digital Signal/ Imaging AI Position Components In this role, you will work with colleagues in the J\&J Innovative Medicine R\&D Data, Data Science, and AI (DDSAI) organization and partner with key businesses across J\&J Innovative Medicine to apply advanced data science and analytics to answer key research questions. As an intern, you will get the opportunity to work on cutting-edge problems at the intersection of AI and healthcare. You will be a member of a dynamic team comprising data scientists and subject matter experts to create and iterate on data science solutions. Projects include, but are not limited to, processing and analysis of wearable sensor and neuroimaging data, development of machine learning models for digital biomarker discovery, validation of digital health endpoints, generation of insights from real-world physiological and behavioral data, modeling and prediction of disease severity and progression, and discovering of disease subtypes. Interns could be located out of our US locations in San Diego CA, San Francisco CA, Titusville NJ, Raritan NJ, Spring House PA, Cambridge MA, or out of Europe locations in Beerse (Belgium), Leiden (The Netherlands), Zug (Switzerland) as well as remote. Minimum Qualifications * Currently pursuing a PhD degree in Biomedical Engineering, Electrical Engineering, Neuroscience, Applied Mathematics, Statistics, Data Science, or a related quantitative discipline. * Strong working knowledge of AI and machine learning. * Advanced in Python or R * Strong skills in predictive modeling, statistics, and analysis of large datasets. * Strong technical communication and presentation skills. * Basic knowledge of data cleaning and data quality Preferred Qualifications Experience in one or more of the following: * Experience with processing and analyzing sensor, wearable device, clinical records, and/or medical imaging data. * Proficiency with pytorch. * Experience with semi-supervised and/or self-supervised learning. * Experience with Foundation Models Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship. Johnson \& Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson \& Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers . Internal employees contact AskGS to be directed to your accommodation resource. Required Skills Preferred Skills:

Senior / Principal Data Infrastructure Engineer

From $90/yr

What if… you could join an organization that creates, resources, and builds life sciences companies that invent breakthrough technologies in order to transform health care and sustainability? About Expedition: Expedition Medicines is a privately held, early-stage biotechnology company pioneering the emerging field of Protein Editing. At Expedition Medicines we create small molecules that edit protein structure and function to unlock presently undruggable targets and a broad array of therapeutic modalities. Our platform integrates novel small molecule chemistry and chemoproteomic discovery technologies with Machine Learning (ML) to enable generative design. Expedition Medicines is backed by Flagship Pioneering, bringing their courage, vision, and resources to guide Expedition Medicines from platform validation to patient impact. We are seeking collaborative, relentless problem solvers that share our passion for impact to join us! Position Summary: We are seeking a highly skilled, hands-on Senior / Principal Data Infrastructure Engineer to design, build, and own the data systems that make our proteomics data discoverable, trustworthy, and usable across the organization. Expedition Medicines develops machine learning tools trained on proteomics data generated by our experimental platform, and this role is critical to the robust, scalable collection, management, and analysis of that data at scale. This is a senior individual-contributor role for an engineer who writes the code, ships the systems, and sets the technical direction. You will work independently, with a clear point of view on where our data infrastructure needs to go, and you will turn that vision into working, production-grade systems that ML scientists, medicinal chemists, and biology teams rely on every day. Responsibilities: * Architect and build: Design and implement the core data platform that integrates experimental proteomics data with computational tools, with high availability, scalability, and security. Write production code. * Own the technical vision: Define and drive the technical roadmap for data infrastructure, identifying the highest-leverage problems. * Automate and integrate: Build automated workflows across proteomics research environments, including high-throughput assays and mass spectrometry data processing. Integrate instruments, pipelines, and LIMS (e.g., Dotmatics) for seamless, traceable data capture. * Data pipelines: Develop and operate robust data pipelines using workflow orchestration tools (e.g., Flyte), and design layered (e.g., medallion-style) data architectures turning raw instrument output into ML-ready datasets reliably and reproducibly. * Cloud infrastructure: Design, deploy, and maintain cloud-based infrastructure for biological and proteomics data processing, storage, and analysis, using infrastructure-as-code and CI/CD to enable continuous improvement of data systems. * Data integrity and quality: Establish and implement rigorous standards for data integrity, lineage, traceability, and consistency. Build the tooling that enforces best practices for data capture, storage, and sharing across manual and automated workflows. * Partner with scientists: Work directly with our proteomics, chemistry, biology and machine learning teams to translate scientific objectives into data infrastructure solutions. Be the go-to technical expert on data systems. * Engineering practices: Set engineering standards through code review, design review, and example. Mentor engineers and scientists informally and share knowledge. Qualifications: * Bachelor's degree in Computer Science, Data Engineering, Computational Biology, Proteomics, or a related technical field; advanced degree is a plus. * 8+ years of hands-on experience in data infrastructure, data engineering, informatics, or related fields, preferably in proteomics, bioinformatics, or other biotech environments. * Proven track record of independently designing, building, and operating terabyte-scale data systems in a biotech or life sciences environment. * Demonstrated ability to set technical direction and deliver complex projects with minimal oversight. * Expertise in cloud infrastructure (e.g., AWS, Azure), Kubernetes, and infrastructure management as code tools (CFN, CDK, Terraform, ARM). * Deep understanding and experience of data modeling with database and data warehouse systems (e.g., Postgres, Redshift, Snowflake). Strong familiarity with lakehouse and medallion-style architectures (e.g., Delta Lake, Iceberg). * Experience with data pipeline architecture and workflow orchestration (e.g., Flyte, Dagster, Airflow), including APIs, schedulers, and software integration. * Strong proficiency in Python, SQL; comfortable with R. * Hands-on experience with DevOps, software design lifecycle (SDLC), and automation tools (e.g., Terraform) and CI/CD practices. * Strong written and verbal communication skills, with the ability to explain technical decisions to both technical and non-technical colleagues. Preferred: * Experience using LLMs and agentic tooling (e.g., Claude, Model Context Protocol servers) to build interactive, natural-language query interfaces that give scientific teams direct access to data is highly preferred. * Experience with mass spectrometry and/or NGS data sets and biomarker discovery workflows. * Experience with LIMS and data management systems (e.g., Dotmatics, CORE LIMS). * Familiarity with laboratory automation systems, including integration with robotic and sample management platforms. About Flagship : Flagship Pioneering is a bioplatform innovation company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies, and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com. Flagship Pioneering and our ecosystem companies 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. At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background. *Recruitment \& Staffing Agencies : Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.* Privacy Notice for Applicants: When you apply for a role at Flagship Pioneering or one of its portfolio companies, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact privacy@flagshippioneering.com. The salary range for this role is $165,000 - $209,000. Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. Expedition Medicines currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Expedition Medicines's good faith estimate as of the date of publication and may be modified in the future. Privacy Notice for Applicants: When you apply for a role at Flagship Pioneering or one of its portfolio companies, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact privacy@flagshippioneering.com.

Associate Director, Scientific Communications

From $165,000/yr

About Beeline Medicines Beeline Medicines is a clinical‑stage biotechnology company focused on developing and delivering category-leading precision therapies to transform the lives of people living with autoimmune and inflammatory diseases. With a portfolio of potential best-in-class and first-in-disease therapeutic candidates that directly target key pathways governing dysregulated immunological and inflammatory responses, the Company is developing medicines that have the opportunity to provide durable, life-changing impact. Led by an established executive team and backed by world-class life science investors, each day Beeline Medicines is determined to bring the scientific rigor and operational excellence to get to what matters for patients – realizing a world where people with immune-mediated diseases can live life fully. Job Summary The Associate Director of Scientific Communications will support the development and execution of the scientific communications strategy across the portfolio, leading day-to-day publication planning, congress activities, and scientific content development. This individual partners closely with the Senior Director, Scientific Communications and cross-functional stakeholders in Clinical Development, Regulatory, Medical Affairs, and Commercial to translate clinical and translational data into clear, compliant, and scientifically rigorous materials for internal and external audiences. The role requires strong scientific writing ability, project management skills, and comfort operating in a fast-paced, evolving biotech environment Work Arrangement \& Location: Hybrid - This position follows a hybrid work schedule, requiring a minimum of two (2) days on-site per week — currently designated as Tuesday and Wednesday . Additional on-site days may be required based on business needs, team priorities, or leadership direction. Essential Duties And Responsibilities * Support development and lead execution of the scientific communications plan in alignment with asset strategy and medical affairs objectives * Manage global publication activities (author engagement, abstracts, manuscripts, posters, oral presentations) in compliance with GPP2022 and company SOPs * Oversee the execution of plans for major international and regional medical meetings, including content development and internal alignment * Draft and edit scientific content, including slide decks, scientific exchange materials, FAQs, and training resources for Field Medical teams * Partner with cross-functional teams to ensure accurate interpretation and timely dissemination of data * Maintain publication trackers, timelines, and vendor/agency relationships to ensure on-time, on-budget delivery * Support advisory boards, investigator meetings, and external scientific forums * Assist in establishing processes and standards to ensure consistency and compliance across scientific materials * Perform other duties and responsibilities as assigned Qualifications * Education: PhD, PharmD, MS, or equivalent advanced scientific degree required. * 7+ years of experience in scientific communications, medical affairs, or related roles within biotech or pharmaceutical industry * Experience supporting publication strategy and congress execution, ideally for late-stage (Phase 2/3 or Phase 3) programs * Experience in autoimmune, immunology, or inflammatory diseases preferred * Deep knowledge of scientific publication standards, data disclosure requirements, and medical compliance, including GPP2022 and ICMJE guidelines * Excellent project management and organizational skills, with ability to manage multiple concurrent timelines * Contribute to a culture of scientific excellence, accountability, and continuous improvement within the scientific communications function * Build credibility with cross-functional partners across Clinical Development, Regulatory, Commercial, and Medical Affairs * Exercise sound judgment and independent problem-solving in a fast-paced, resource-constrained environment * Translate complex clinical and scientific data into clear, audience-appropriate narratives for diverse stakeholders * Communicate proactively with cross-functional partners on publication timelines, congress deliverables, and project status * Ensure consistency, accuracy, and compliance of scientific messaging across all channels and materials * Collaborate effectively with clinical, regulatory, and commercial colleagues to align on scientific narrative Salary Range The expected salary range for this position varies by location and will be communicated based on the country or region in which the selected candidate is hired. Actual pay will be determined based on experience, qualifications, location, and other job-related factors permitted by applicable local law. A discretionary annual bonus and long-term incentive award (e.g., equity) may be available based on individual and Company performance. Salary Range $165,000 - $214,500 USD Benefits We offer a comprehensive benefits package tailored to the country and region in which you are hired, in compliance with local laws and practices. Benefits may include, but are not limited to: * Competitive health and wellness coverage (structure and premiums vary by country) * Paid time off, public holidays, and additional leave entitlements in accordance with local requirements * Flexible work arrangements / hybrid schedule Benefits vary by location and are subject to eligibility requirements, local regulations, and plan terms. Specific benefit details applicable to your country or region will be provided during the offer process. Equal Employment Opportunity Beeline Medicines 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, sex, sexual orientation, gender identity or expression, national origin, disability, age, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. Reasonable Accommodation If you require a reasonable accommodation to participate in the application or interview process, please contact careers@beelinemedicines.com to request an accommodation. We are committed to providing equal access to all candidates. Privacy Upon submission of this form I understand that Beeline Medicines is based in the United States and personal data submitted in the form will be transferred and accessed in the U.S., Information about Beeline Medicines privacy practices can be found at Privacy Policy - Beeline Medicines

Lab Curriculum Coordinator I

From $163/yr

Company Description By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive. Why join the Harvard Faculty of Arts and Sciences? The Faculty of Arts and Sciences (FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs (the Harvard Kenneth C. Griffin Graduate School of Arts and Sciences, founded in 1872), Harvard Athletics and the Division of Continuing Education. The 40 academic departments and 30+ centers of the FAS support a community unparalleled in its academic excellence across the broadest range of liberal arts and sciences disciplines. Together, the FAS seeks to foster an environment of ambition, curiosity and shared commitment to knowledge and truth that elicits excellence from all members of our community and prepares the next generation of leaders through a transformative educational experience. Job Description Job Summary: The Lab Curriculum Coordinator I position reports to the Manager of the Biology Teaching Laboratories. Supports the implementation of labs for undergraduate instruction in molecular biology, microscopy, cell biology, organismic biology, human evolutionary biology and general education. Job-Specific Responsibilities: Works as part of a team in preparing the lab portion of undergraduate Biology courses. The position supports multiple courses at a time. Collaborates with course instructors and manager to determine all necessary components for safe, effective lab instruction. Provides material and technical support for undergraduate experiments, including preparing chemical reagents, media, cultures, and consumables. Must be able to accurately calculate molarity, percent solutions, and other formulas as called for. Position may require the pre-running of lab procedures and troubleshooting of protocols under the supervision of course instructors or manager. Attends lab meetings for course portfolio and acts as a guide for Teaching Assistants. Sets up and maintains scientific equipment including microscopes, computers, and audio/visual tools. Provides technical assistance and instruction in the proper use of all equipment. Provides routine maintenance and arranges for repairs when necessary. Maintains clean lab classrooms and properly stores lab components and equipment. Purchases chemicals, specimens, and consumable supplies. Considers new equipment for student and/or teaching staff use and proposes ideas to the manager. Monitors chemical and biological waste and arranges for disposal or decontamination. Acts as the lab safety officer for lab classrooms. Must attend safety meetings and stay up to date on all lab safety training as determined by manager. Typical Duties: * Preparation of reagents, media, and cultures according to approved protocols. * Operation of glassware washer, autoclave, and other lab equipment as needed. * Transport of lab equipment and materials between lab classrooms and buildings. * Orders supplies for each course as needed as well as general lab/office supplies for Teaching Labs’ staff. * Performs regular lab maintenance and cleaning. * Maintains a history of lab protocols and equipment documentation. * Anticipates the needs of instructors and uses student protocols to proactively prepare lab classrooms. * Act as lab safety officer in lab classrooms and be a first-contact for all users. * Other duties as may be requested by lab instructors and performed with Manger’s approval. * Makes periodic reports of duties and status to supervisor. Working Conditions: This position requires being present and active among multiple lab classrooms, full-time, Monday-Friday and is 100% onsite. Physical Requirements: At times, position requires repetitive motions. May be required to lift and transport equipment between locations. Qualifications Basic Qualifications: College background required. A minimum of one year of lab experience (relevant course work may count toward experience). Knowledge of lab techniques. Additional Qualifications and Skills: Bachelor’s degree in Biology or related field strongly preferred. General lab safety, hazardous waste, biohazard and blood-borne pathogen experience. Must be able to accurately perform calculations .Must be self-motivated with independent judgment and trouble-shooting skills, customer service oriented, and have strong oral and written communication skills. Must also be comfortable learning new lab skills. Must be able to act with autonomy. Additional Information * Standard Hours/Schedule: 40 hours per week * Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position * Pre-Employment Screening: Identity * Other Information: All formal offers will be made by FAS Human Resources Work Format Details This position has been determined by school or unit leaders that all duties and responsibilities must be performed at a Harvard or Harvard-designated location. Certain visa types may limit work location. Individuals must meet work location sponsorship requirements prior to employment. Salary Grade and Ranges This position is salary grade level 053. Please visit Harvard's Salary Ranges to view the corresponding salary range and related information. Benefits Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to: * Generous paid time off including parental leave * Medical, dental, and vision health insurance coverage starting on day one * Retirement plans with university contributions * Wellbeing and mental health resources * Support for families and caregivers * Professional development opportunities including tuition assistance and reimbursement * Commuter benefits, discounts and campus perks Learn more about these and additional benefits on our Benefits \& Wellbeing Page. EEO/Non-Discrimination Commitment Statement Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes. Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

Litigation Paralegal

From $365/yr

Job Description Summary The Global Litigation Paralegal role will be an integral part of the GE Vernova Global Law \& Policy Corporate team and report to Senior Litigation Counsel for GE Vernova. The Global Litigation Paralegal will be an integral part of a team leading the company’s response to litigation and dispute matters globally and across all of GE Vernova’s business segments and will provide support to the attorneys managing litigation across the business segments, including assisting with essential reporting obligations, maintaining litigation data, performing factual research, assisting with e-discovery and other substantive projects. Job Description Essential Responsibilities * Prepare and support high value reporting to senior leadership, auditors and Board of Directors * Interface directly with senior members of other departments, outside counsel, government agencies and vendors regarding a variety of issues * Maintain, coordinate and develop internal databases of litigation data, and compile and synthesize various data sources * Coordinate and respond to subpoena requests * Handle document retention / collection / production processes for lawyers (in coordination with discovery experts) and custodial witness interviews * Assist in drafting legal and other documents and correspondence * Perform factual and legal research * Handle billing for outside counsel and other legal vendors * Manage matter management system and ensure appropriate reporting of case data across the company * Track spend vs budget and maintain accurate financial reserve tracking, interfacing with other departments as necessary * Track and manage key performance indicators on litigated matters * Manage documents and files in connection with litigation * Assist with other programmatic support, including training, conferences, data analytics and administrative tasks * Spearhead special projects Qualifications / Requirements * Minimum 5 years of relevant work experience, preferably with in-house legal experience * Excellent Microsoft Office skills (Word, PowerPoint, Excel) and proficiency in Microsoft 365 collaborative and analytical tools (i.e. PowerBI, SharePoint/Teams) * Demonstrated record of preparing clear and creative PowerPoint presentations, proficient in SmartSheet and an interest in learning other computer applications * Experience in creating, maintaining and analyzing databases of litigation data from a variety of different resources * Hands-on experience using AI-driven legal tools; dedicated to continuous process improvement and eager to innovate new ways to leverage emerging technology to enhance productivity and output. * Preference will be given to candidates based in the Cambridge, MA area. We are open to considering remote arrangements for highly qualified applicants residing in other locations. Desired Characteristics * Self-starter and proactive problem solver * Proven organizational and analytical skills with extraordinary attention to detail * Ability to work independently in an evolving, fast-paced environment and manage multiple projects while maintaining a high quality of work * Strong interpersonal, verbal, and writing skills * Enthusiasm to learn new skills and pursue new growth opportunities * Team player with a proven ability to successfully interact with, facilitate and collaborate with others and build excellent working relationships (cross-functionally, globally and externally) * Flexible and collaborative team player who is passionate about GE Vernova’s mission * Strong familiarity with Westlaw, PACER and other on-line litigation resources, as well as Internet-based fact and media research * Familiarity with electronic legal billing and matter management systems For candidates applying to a US based position, the pay range is this position is between 100k - 124k USD Additional Information GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: No For Candidates Applying To a U.S. Based Position Only * The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. This posting is expected to remain open for at least seven days after it was posted on October 22, 2026. Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance and 12 paid holidays. New hires also receive 40 hours of personal business time, 160 hours of personal illness and caregiving time (subject to state law), and two weeks of annual vacation (which may be pro-rated based on start date). GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Shift Supervisor, Research Operations

From $118,800/yr

Your Impact at LILA Lila's Research Operations team runs the automated lab workflows that power our science. As a Shift Supervisor, you own the reliable execution of those workflows across your shift, serve as the technical lead for the engineers running them, and directly manage and develop a team of Research Operations engineers. You are the first point of accountability for run quality, the first source of operational guidance for engineers on shift, and a critical link between the bench and the automated systems behind our science. This is an on-site, second-shift role with working hours of 2:00 PM-10:00 PM. You'll lead, coach, and develop some of the most energetic and brilliant minds in Research Operations, creating an environment where they can grow, take ownership, and do their best work. This role is ideal for someone who thrives on operational ownership, takes pride in process discipline, enjoys developing others, and knows how to keep a team and workflows running smoothly in a fast-paced, high-throughput environment. What You'll Be Building * Own the safe, reliable execution of automated lab workflows across your shift, meeting quality, throughput, and operational performance targets * Serve as the technical lead for engineers on shift, providing real-time guidance, prioritization, and workflow coordination * Manage, coach, and develop direct reports, setting clear expectations, providing actionable feedback, and building technical capability and ownership across the team * Monitor run performance and system health in real time, independently resolving common issues, and escalating complex problems appropriately * Manage accurate shift handoff documentation in real time, ensuring seamless continuity with the incoming team * Flag QC/QA deviations promptly and accurately, documenting observations with high attention to detail * Partner with scientific, engineering, and automation teams to troubleshoot workflow challenges and improve operational performance, including ongoing relationships with scientific leads * Support tech transfer by validating automated workflows against manual processes and partnering with cross-functional teams to resolve process gaps and improve robustness What You'll Need To Succeed * 5+ years of hands-on experience in lab automation, research operations, high-throughput screening, or a closely related technical environment * Prior formal people-management experience with direct reports in a laboratory, technical, or operations environment, including setting expectations, providing feedback, coaching and developing team members, and driving accountability for performance * Experience operating and troubleshooting automated liquid handling platforms (Hamilton, Lynx, Echo, or similar) in a production or research setting * Experience leading and coordinating workflow execution in a team setting, including providing direction to engineers, managing competing priorities, and maintaining operational continuity in real time * Strong foundational knowledge of the scientific basis for assay design, execution, and interpretation * Experience identifying operational issues, performing root-cause investigation, and driving issues to resolution * Clear, concise communicator with the ability to collaborate effectively across Research Operations, scientific, engineering, and LabOps teams Bonus Points For * Degree in Biology, Chemistry, Engineering, Biotechnology, or a related field, or equivalent technical training and hands-on experience * Prior experience managing a shift or technical team in a highly automated or high-throughput laboratory environment * Experience improving production protocols, supporting tech transfer, or validating workflows from manual bench execution to automated platforms * Familiarity with QC/QA systems, deviation management, SOP development, and continuous improvement methodologies (Lean, 5S, Kaizen) * Familiarity with electronic lab notebooks (ELN), LIMS, or other laboratory operations software platforms CompensationWe offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market. Expected Base Salary Range: $118,800 USD - $182,400 USD About LILA Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves. LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai. Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply. We’re All In Lila Sciences is 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. Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy. A Note to Agencies Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

Mechanical Engineer

From $100,000/yr

SMMA has an opportunity for a Mechanical Engineer with 5+ years of experience. This position offers the ability to lead a range of multiple design project types and requires a good balance of leadership, technical, communication, and organizational skills. Our Engineering team is a part of an integrated, multi-disciplinary design firm with a dynamic mix of architects and engineers. We offer a fast-paced, collaborative professional environment that promotes professional and creative growth. We pride ourselves on having a culture that promotes a balanced life/work approach. Key Responsibilities * Lead projects from concept design through construction administration in a range of project types * Demonstrate experience with a range of system types and ability to support technical discussions * Prepare HVAC drawings utilizing Autodesk Revit Building Information Modelling (BIM) Software * Conduct construction site visits and review construction administration submittals * Guide and mentor junior team members throughout project design phases Qualifications * 5-7 years of experience in HVAC systems design and leading projects * Registration as a Professional Engineer preferred * Knowledge of Revit, AutoCAD, Excel, Load Calculation programs and MS Office * Effective communication skills, both verbal and written * Ability to conduct visits to active construction sites and climb ladders. About SMMA For more than 70 years, SMMA has integrated architecture, engineering, interior design, and planning to turn complex design challenges into refined, unexpected solutions. Our multidisciplinary team works across disciplines, sharing perspectives, inspiration, and ideas while staying aligned around one goal: our client’s goal. Our work spans seven markets: Development, Government, Higher Education, K-12, Life Sciences, Technology, and Workplace. Team members have opportunities to contribute across a wide range of project types and specialties. SMMA is a 100% employee-owned company, where every team member is an invested stakeholder. Our shared ownership supports a culture where your voice matters, your ideas help shape our future, and your success contributes directly to our collective growth. Company Perks * Employee-owned firm with Employee Stock Ownership Program * Hybrid work-from-home policy * Competitive benefits including paid time-off, company-funded MA Paid Family and Medical Leave, company-paid dental plan, company-paid life insurance, and 401(K) matching * Employee Assistance Program (includes confidential emotional support, legal guidance, and financial resources) * Mentor/protégé program * Educational reimbursement * Licensure and membership reimbursement * “Lunch and Learns” with internal and external speakers Please note: SMMA does not offer H-1B visa sponsorship for this position. The approximate pay range for this position is $100,000 - $145,000. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual’s qualifications.

Senior Product Designer II / Staff Product Designer

From $180,000/yr

Your Impact at LILA As a Senior Product Designer II / Staff Product Designer on the Software Product team, you will shape core Lila App experiences that help scientists, ResOps, and LAS users plan, execute, and learn from scientific workflows. You will translate complex scientific workflows and AI-native product capabilities into intuitive, trustworthy, and scalable software experiences. You will partner closely with product, engineering, scientists, and operations teams to design workflows that support product externalization and high-quality user experiences across the Lila App. Your work will influence how users interact with Lila’s scientific superintelligence platform and autonomous lab systems. What You'll Be Building * Design end-to-end Lila App workflows for scientists, ResOps, and LAS users. * Translate scientific and operational complexity into clear, intuitive product experiences. * Partner with product, engineering, science, and operations to define user problems and tradeoffs. * Prototype AI-native interactions that help users understand and act on system recommendations. * Conduct lightweight research, workflow mapping, and usability testing with internal users. * Contribute scalable design patterns that improve consistency across the Lila App. * Use AI-enabled design tools to accelerate exploration, iteration, and communication. What You'll Need To Succeed * 5+ years of product design, UX design, or interaction design experience. * Strong portfolio showing end-to-end product design and shipped product impact. * Experience designing complex, data-rich, technical, or operational software products. * Ability to simplify ambiguous technical workflows into clear product experiences. * Strong interaction design, information architecture, and systems thinking skills. * Experience partnering with product managers, engineers, and domain experts. * Comfort using modern AI tools for design exploration, prototyping, and synthesis. Bonus Points For * Experience designing for scientists, lab operations, biotech, or AI-enabled technical users. * Experience designing AI-native workflows, trust calibration, explainability, or review flows. * Familiarity with data visualization, workflow orchestration, LIMS, or scientific data management. * Experience contributing to or scaling a design system. * Comfort working in ambiguous, early-stage product areas. CompensationWe offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market. Expected Base Salary Range: $180,000 USD - $256,000 USD About LILA Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves. LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai. Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply. We’re All In Lila Sciences is 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. Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy. A Note to Agencies Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

Graduate Silicon Engineer 2027

From $202/yr

Location: Bristol or Cambridge, UK Start date: September 2027 Application deadline: Midnight 29 th November We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you’ll be trusted to take ownership, share your ideas and help shape what we’re creating. You’ll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. What you’ll work on Bring your curiosity, bright ideas and problem-solving skills to the chips behind tomorrow’s AI systems. As a Graduate Silicon Engineer, you’ll join one of our four specialist Silicon teams: logical design, verification, physical design or design for test (DFT). You’ll contribute to real chip development, learning from experienced colleagues and building your understanding of how advanced AI chips are designed, verified and prepared for manufacture. Depending on your team, you’ll work on areas such as register-transfer level (RTL) design, SOC integration, verification methods, physical implementation or the critical role of DFT. You’ll use industry-standard electronic design automation (EDA) tools and take ownership of clear tasks, with support from experienced engineers. How you’ll learn and grow During the two-year programme, you’ll develop practical silicon engineering skills in the team you join, building on the fundamentals you’ve learned through your studies and projects. Hands-on tasks will help you learn modern design techniques and use industry-standard EDA tools. You’ll build skills in areas such as RTL, verification, timing or physical design, depending on your team’s focus. Feedback from reviews and practical problem solving will help you develop your technical judgement, explain your approach and understand how your work fits into the wider chip development process. Bring your curiosity and willingness to learn; we’ll support you as you build your knowledge and confidence. What we're looking for On track for, or achieved, a degree in Electronic Engineering, Computer Science or a related subject such as Physics, Maths Good coding skills such as C, C++ or Python An interest in digital design, application-specific integrated circuits (ASICs), verification, physical design, computer architecture or AI compute, and motivation to learn modern silicon design techniques and EDA tools You don’t need an engineering background to join us. If you’re curious, motivated and enjoy solving problems, we’ll teach you the skills you need. You can demonstrate these skills through coursework, a dissertation, personal or team projects, hobbies, internships, work experience or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned. Benefits Flexible working: Balance your work and personal life with greater flexibility Generous leave: Take time to rest, recharge and enjoy life outside of work Retirement planning support: Up to 5% matched pension Phantom equity: Share in Graphcore’s success Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. Sponsorship Applicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities. Introduction to Graphcore At Graphcore, we’re building next generation AI compute: from semiconductors and software to systems at datacentre scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. Starting your career here means working alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. You’ll learn from each other, bring fresh ideas and help solve challenging problems together. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We’ll let you know the outcome of your application by early December at the latest. If successful, you’ll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Ready to put your learning into practice? Start your career in a permanent Silicon Engineer role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next. Find Jobs in United Kingdom on Arbeitnow

MLR Content Operations Specialist

From $48/yr

Job Title : MLR Content Operations Specialist (Part Time) Location : (REMOTE) Cambridge, Massachusetts (02138) Pay range : $48-50/hr on W2 (24hr/Week) Duration : 6+ months Key Responsibilities * Coordinate MLR/CCC submissions, review cycles, approvals, and stakeholder communications. * Ensure submission readiness, including annotations, references, screenshots, metadata, and supporting documentation. * Manage promotional content throughout the development, review, approval, and publishing lifecycle. * Support website migrations through content inventories, manuscript reviews, metadata validation, and approval workflows. * Verify content accuracy and regulatory compliance across staging and production websites. * Collaborate with Brand Marketing, agency partners, Medical/Legal/Regulatory reviewers, and Digital Operations teams. * Track project timelines, resolve content readiness gaps, and maintain workflow documentation. * Identify process improvements and support SOPs, templates, and reusable content strategies. Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support. Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit https://dexian.com/. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

Logistics Specialist

From $365/yr

Position Summary: We are seeking a detail-oriented and proactive Logistics Specialist to support our Import \& Export Operations. This role is pivotal in ensuring timely and compliant movement of biological reagents, laboratory equipment and other specialised goods from international suppliers, as well as managing the importation of critical materials for our biotechnology operations. Responsibilities include, but are not limited to, supply chain support, inventory control, material handing, import and export licensing, product shipments and third-party warehousing. The role also serves as a liaison between Sales, Customer Service and Operations to ensure customer requirements are met. The Logistics Specialist will support the development and maintenance of logistics plans, procedures and processes to ensure compliance with applicable international requirements. The ideal candidate will have a good understanding of international trade regulations, cold chain logistics and the challenges associated with importing and exporting materials for biotechnology research and manufacturing. Key Responsibilities: * Manage end-to-end import and export processes, including shipping documentation, customs clearance and coordination with freight forwarders and customs brokers. * Ensure import and export activities comply with applicable international trade regulations, including HTS tariff classification, Incoterms and relevant biosafety requirements. * Follow established SOPs and work instructions, ensuring shipping documentation and operational records are accurate, complete and maintained in accordance with company procedures. * Investigate and resolve shipment discrepancies, customs delays, documentation errors and delivery issues, escalating risks where necessary to minimise operational disruption. * Coordinate the preparation and dispatch of temperature-sensitive and cryogenic shipments, ensuring packaging, documentation and transport arrangements meet applicable requirements. * Support the business with export requirements and identify opportunities for process improvement. * Collaborate with the Procurement and Stores teams to ensure adequate stocks of logistics consumables are maintained. * Work with the Inventory team to retrieve and store vials in cryogenic storage for scientific use and shipment preparation, ensuring inventory movements are accurately recorded. * Collaborate with internal departments, international suppliers, freight forwarders, customs brokers and third-party warehouses to ensure efficient and timely logistics operations. * Ensure inventory transactions, shipment tracking information and goods movements are accurately recorded in the relevant ERP and inventory management systems. * Monitor changes in international logistics requirements and adapt shipping arrangements to meet evolving customs, regulatory and customer-specific requirements. * Identify opportunities to streamline import and export processes, reduce costs and improve delivery reliability. Qualifications: * Secondary education or a Level 3 qualification (e.g. A-levels, BTECs or equivalent), with an interest in developing a career in logistics, import and export operations, international business or a related field. * Previous experience in import and export logistics, preferably within the biotechnology, pharmaceutical or life sciences sector, is desirable. * Knowledge of international shipping regulations, customs procedures and trade compliance is desirable. * Experience with ERP systems (e.g. SAP or Microsoft Dynamics 365) and courier or logistics tracking systems. * Excellent communication and interpersonal skills, with the ability to liaise effectively with internal and external stakeholders. * Good organisational skills and attention to detail, with the ability to manage multiple priorities in a fast-paced, regulated environment. * Ability to adapt to frequent changes in the international logistics landscape. * Good problem-solving skills and a proactive approach to resolving operational issues. * Ability to work independently while contributing effectively to a team.

Principal Scientist, Translational Informatics and Predictive Sciences

From $166,770/yr

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it. Principal Scientist, Translational Informatics and Predictive Sciences When you join BMS, you are joining a high-achieving team united by a common mission. The Informatics and Predictive Sciences (IPS) mission is to Pioneer, Partner and Predict to drive transformative insights for patient benefit. IPS conducts applied computational research in areas that include genomic, structural and molecular informatics, computational and systems biology, patient selection and translational biomarker research, and broader fields including knowledge science, epidemiology and machine learning—across the full lifecycle of drug discovery and development and across all therapeutic areas at BMS. We do this in close partnership with scientific and clinical experts in the field, both inside and outside the company. We perform innovative science to empower key data-driven decisions across a rich pipeline of next-generation medicines. In doing so, our work transforms the lives of patients, as well as our own lives and careers. Here, you’ll get the chance to grow and thrive through opportunities that are uncommon in scale and scope. You’ll pursue innovative ideas while advancing professionally alongside some of the brightest minds in biopharma. The Principal Scientist will apply cutting-edge bioinformatics, statistical, modeling, and computational biology approaches to analyze large-scale clinical datasets and drive translational insights across the BMS solid tumor oncology portfolio. This role focuses on both clinical and real-world patient datasets to discover biomarkers, elucidate disease biology, and inform development strategies for the pipeline. The Principal Scientist will have a direct impact on advancing therapies for patients and accelerating scientific understanding of disease biology and therapeutic response. Essential to this role are the ability to harness the potential of AI, to translate data and analysis into scientific impact, and to think creatively about complex scientific problems. Position Responsibilities * You will partner with biomarker scientists, clinical development teams, and preclinical researchers to design and execute computational strategies for clinical and translational studies. * You will analyze high-dimensional molecular datasets to generate mechanistic insights into treatment response and resistance. * You will apply and/or develop ML/AI methods to extract patterns from multi-omics and real-world datasets, including predictive modeling, feature selection, and data integration across modalities. * You will provide scientific leadership and mentorship, shaping analytical best practices and elevating the use of AI-enabled approaches across the team. * You will communicate scientific results clearly and persuasively to decision-making bodies across R\&D, translating complex analyses into actionable recommendations that influence cross-functional strategy. Education \& Experience * Bachelor's Degree 8+ years of academic / industry experience * Or Master's Degree 6+ years of academic / industry experience * Or PhD 4+ years of academic / industry experience Required Qualifications * Experience with high-throughput molecular data, such as next-generation sequencing, single-cell technologies, proteomics, or others. * Proficiency in R and/or Python, with a demonstrated ability to leverage AI in scientific work, including hands-on experience with agentic AI coding tools. * Strong understanding of fundamental statistical methods. * Growth mindset with a passion for continuous learning. * Strong problem-solving skills, creativity, and scientific rigor. * Excellent communication, data visualization, and presentation skills, with a demonstrated ability to communicate your work and influence cross-functionally. Preferred Qualifications * Experience with spatial ’omics datasets and methods. * Demonstrated experience applying machine learning methods to scientific problems. * Prior experience in oncology. * Prior experience in drug development at a biopharmaceutical company, in translational sciences, discovery, or early clinical development. We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway. Compensation Overview Cambridge Crossing: $166,770 - $202,086 Princeton - NJ - US: $145,020 - $175,728 The starting pay range(s) listed above is for full-time employees (FTE). You may also be eligible for additional discretionary incentive cash and stock opportunities. We determine starting pay thoughtfully – carefully considering the nature of the role, required skills, work location, schedule and the knowledge and experience you bring. Final compensation is guided by pay equity principles and applicable employment laws. Compensation programs are reviewed on an ongoing basis and may be adjusted over time to reflect evolving market factors, and individual, team or Company performance. Benefits Subject to the terms and conditions of the applicable plans then in effect, you may be eligible to participate in our comprehensive benefit plans – including wellbeing support, retirement and financial protection benefits, and insurance offerings (medical, dental, vision, life and disability). U.S.-based exempt employees are eligible for Flexible Time Off (FTO), which provides paid time off without a set accrual limit, subject to manager approval, along with 11 paid company holidays each year. Non-exempt employees, RayzeBio employees, and employees located in Puerto Rico receive 160 hours of paid vacation annually for new hires (subject to manager approval), 11 paid company holidays, and 3 optional holidays. Depending on eligibility, employees may also have access to additional time-off benefits, including paid sick leave, up to two paid volunteer days per year, summer hours flexibility, and leaves of absence for medical, personal, parental, caregiver, bereavement, or military needs. Eligible employees also enjoy an annual Global Shutdown between Christmas Day and New Year's Day. U.S.-based job seekers can explore full benefit offerings at https://careers.bms.com/benefits How We Work Where you work matters – because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working. Supporting People With Disabilities BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement. Candidate Rights BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. For roles based in Los Angeles County only: If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/ Data Protection We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection. Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. If this posting is missing required information required by local law or incorrect, contact BMS at TAEnablement@bms.comwith the Job Title and Requisition number. Do not send application-related inquiries to this email. To check your application status, please login to your Candidate Home Account. R1606915 : Principal Scientist, Translational Informatics and Predictive Sciences