RWE Data Scientist

Work Flexibility: Not available What You Get Out of the Internship   At 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 setting   Implement new ideas , be constantly challenged, and develop your skills   Network with key/high-level stakeholders and leaders of the business   Be a part of an innovative team and culture   Experience documenting complex processes and presenting them in a clear format   Who We Want   Challengers. 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.   Opportunities Available   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 programs   Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources   Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data   Prepare literature review summaries and evidence syntheses to support publication and regulatory submission efforts   Build and refine statistical models (e.g., propensity matching, survival analysis) under the mentorship of the RWE Research team   Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement, and commercial strategy   What You Need   Required:   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 internship   Cumulative 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 future   Proficiency 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 relationships   Demonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple priorities   Proficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environment   Preferred:   Prior exposure to claims databases (Medicare, MarketScan , Premier PINC AI, Optum) or EHR data structures   Familiarity with causal inference methods (propensity score matching, instrumental variables) and/or survival analysis   Experience with NLP applied to unstructured healthcare text   Prior coursework, thesis, or practicum work in a medtech, pharma, or payer setting