RWE Data Scientist

About the role

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

$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

Travel Percentage: None

Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer – M/F/Veteran/Disability.

Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.