2027 Future Talent Program - Epidemiology and RWE Capabilities & Analytics - Intern

Merck is a pharmaceutical company seeking 2027 summer interns for its Epidemiology and Real-World Evidence (RWE) Capabilities & Analytics team. The interns will conduct literature reviews, analyze real-world health data, develop and validate prediction models, support protocol and manuscript development, create visualization tools, and communicate research findings.

What you'll do:

• Summarizing background information of a specific topic via targeted literature review
• Conducting data analysis in real-world health data sources to understand data quality, disease identification or treatment patterns, develop and validate prediction models
• Summarizing and interpreting study results
• Contributing to protocol development and manuscript writing
• Contributing to development and update of visualization tools (e.g., dashboard, geospatial visuals) of real-world data
• Contributing to development of materials to understand artificial intelligence and machine learning methods
• Communicating findings to an internal or external audience

What they're looking for:

• Candidates must be a currently enrolled graduate student pursuing a PhD degree in epidemiology, biostatistics, public health, data science, biomedical informatics, or other closely related field; **Or** a currently enrolled graduate student pursuing a PharmD degree with relevant training in epidemiology
• Candidates will have completed at least 2 semesters of graduate work towards a PhD degree in epidemiology, biostatistics, public health, data Science, biomedical Informatics, or other closely related field by May 30, 2027; or towards a PharmD degree with relevant training in epidemiology by May 30, 2027
• Candidates must be able to commit to full-time employment for 10 - 12 weeks beginning in May or June 2027
• Candidates must be scheduled to return to school in Fall 2027, unless the internship is a requirement for their degree
• Candidates must have effective oral and written communication skills
• Strong academic performance
• Communication skills
• Spirit of teamwork
• The ability to work in a multi-functional environment
• Candidates should have prior literature review (systematic/target) experience, have a good understanding of real-world data and real-world databases and have a good knowledge of SAS, SQL, R, or Python
• Students with an interest in genetics/biomarkers, geospatial analysis, policy, or patient-reported outcomes/clinical outcomes assessments (PROs/COAs), data science, model development, artificial intelligence/machine learning are encouraged to apply

Benefits:

• Great development and a chance to see if we are the right company for your long-term goals.
• The interns will have the opportunity to present their research work in internal or external professional forums or meetings.
• The interns will attend departmental and project team meetings to gain a broad perspective on the application of epidemiology and statistical method in the pharmaceutical industry.
• Hybrid flexible work arrangement