Summer 2027 Internship - RWE Data Scientist - Virtual
Indexed description
- 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
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
- Currently pursuing a Master’s degree in Data Science, Epidemiology, Biostatistics, Health Informatics, or a related field and 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
Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.
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