Healthcare Data Scientist Jobs

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

Orbem GmbHMünchen, BY, DEonsite

From $90,000/yr

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

6 months agovia universal intelligenceApply ›

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Chief Data Scientist - UnitedHealthcare

UnitedHealthcareMinnetonka, MN, USonsite

$225,000 - $375,000/yr

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

6 months agovia universal intelligenceApply ›

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Healthcare Data Scientist

Methodist Le Bonheur HealthcareMemphis, TNonsite

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

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Data Scientist 1 - Healthcare

Baylor Scott & White HealthNot specified

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