Real-World Data Science Intern: Healthcare Analytics

PowerToFly; Orlando (FL); On-site; USD 28,000 - 48,000; Full time

Benefits offered by this job

Sign-on bonus

11 paid holidays annually

Housing stipend

Job summary

Stryker in Orlando is offering a Real-World Evidence Data Science internship where you will work across Clinical Affairs, HEOR, Regulatory Affairs, and Marketing to support evidence generation. You will design observational studies using claims and other real-world data, assist in data extraction and NLP, and prepare literature reviews for publications and regulatory submissions.

This role emphasizes collaboration, mentorship by the RWE Research team, and building practical analytics skills in a

Qualifications

• Currently pursuing a Master’s degree in Data Science, Epidemiology, Biostatistics, Health Informatics, or 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 (Preferred).
• Familiarity with causal inference methods (propensity score matching, instrumental variables) and/or survival analysis (Preferred).
• Experience with NLP applied to unstructured healthcare text (Preferred).
• Prior coursework, thesis, or practicum in medtech, pharma, or payer setting (Preferred).

Responsibilities

• Work cross functionally with different departments including Clinical Affairs, 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

SQL

Python

R

Communication

Leadership

Problem-solving

Organization

Education

Master’s degree in Data Science, Epidemiology, Biostatistics, Health Informatics, or related field

Tools

Microsoft Office

Excel

Job description

Stryker in Orlando is offering a Real-World Evidence Data Science internship where you will work across Clinical Affairs, HEOR, Regulatory Affairs, and Marketing to support evidence generation. You will design observational studies using claims and other real-world data, assist in data extraction and NLP, and prepare literature reviews for publications and regulatory submissions.

This role emphasizes collaboration, mentorship by the RWE Research team, and building practical analytics skills in a