RWE Data Scientist

Real-World Evidence Data Science Internship at StrykerAt Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won't just observe — you'll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare. As an intern, you will:Apply classroom knowledge and gain experience in a fast-paced and growing industry settingImplement new ideas, be constantly challenged, and develop your skillsNetwork with key/high-level stakeholders and leaders of the businessBe a part of an innovative team and cultureExperience documenting complex processes and presenting them in a clear formatChallengers. People who seek out the hard projects and work to find just the right solutions.Teammates. Partners who listen to ideas, share thoughts and work together to move the business forward.Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts.Strategic thinkers. Interns who propose innovative ideas and consistently exceed their performance objectives.Customer-oriented achievers. Individuals with an unparalleled work ethic and customer-focused attitude who bring value to their partnerships.Game changers. Persistent interns who will stop at nothing to live out Stryker's mission to make healthcare better.As a Real-World Evidence Data Science intern at Stryker, you will:Work cross functionally with different departments including Clinical Affairs, Health Economics & Outcomes Research (HEOR), Regulatory Affairs, and Marketing to support real-world evidence generation programsAssist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sourcesSupport data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical dataPrepare literature review summaries and evidence syntheses to support publication and regulatory submission effortsBuild and refine statistical models (e.g., propensity matching, survival analysis) under the mentorship of the RWE Research teamShadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement, and commercial strategyRequired:Currently pursuing a Master's degree in Biostatistics, Epidemiology, Health Services Research, Health Economics and Outcomes Research (HEOR), Health/Biomedical Informatics, Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program after the internshipCumulative 3.0 GPA or above (verified at time of hire)Must be legally authorized to work in the U.S. and not require employment-based sponsorship now or in the futureProficiency in SQL and at least one statistical/analytical programming language (Python or R)Coursework or applied project experience with observational/real-world data (claims, EHR, or registry data)Strong written and verbal communication skills, with proven ability to collaborate and build relationshipsDemonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple prioritiesProficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environmentPreferred:Prior exposure to claims databases (Medicare, MarketScan, Premier PINC AI, Optum) or EHR data structuresFamiliarity with causal inference methods (propensity score matching, instrumental variables) and/or survival analysisExperience with NLP applied to unstructured healthcare textPrior coursework, thesis, or practicum work in a medtech, pharma, or payer setting$20 min hourly wage – $35 max hourly wage, sign-on bonus, 11 paid holidays annually, and either paid corporate housing or a living stipend, dependent upon hiring location