Note: The job is a remote job and is open to candidates in USA. Stryker is a global medical technology company focused on improving healthcare through innovative products and services. The Real-World Evidence Data Scientist intern will support observational study design, healthcare data analysis, evidence synthesis, statistical modeling, and cross-functional real-world evidence programs.
Responsibilities
- 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
Skills
- 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
- 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
Benefits
- Sign-on bonus
- 11 paid holidays annually
- Either paid corporate housing or a living stipend, dependent upon hiring location
Company Overview