Intern, Real World Data Analytics
About The Position
This application is for a 12-week internship role from June - August 2026. Resume review begins in January 2026. The Real World Data Analytics (RWDA) team is the analytic core of a wide array of cross-collaborative projects at Biogen. It oversees and analyzes more than 30 real world data assets (e.g., electronic health records, claims, disease registries, etc.) and executes studies that enhance the understanding of treatment effectiveness, patient journeys and other health outcomes. RWDA engineers the accessibility of this data across multiple compute environments, one of which includes the Databricks platform. Databricks is the most utilized in the RWDA day to day work and optimizes data ingestion and analysis by offering fast paced processing and coding in a variety of languages (e.g., SQL, Python). There is a want within the Biogen organization to democratize data access and interpretation, among users that are not as knowledgeable about coding and data structure. The AI features within Databricks promise to assist with this need. What You’ll Do: As an intern, you will investigate and present findings on a research question using real world / observational data. You will design and build patient cohorts, and report analysis results (e.g., tables, figures, visualizations) using standard coding language. With that knowledge, you can then explore options to integrate the use of AI into those analyses in beneficial ways. Databricks is a platform rich in AI opportunities ranging from suggested ways to write code, to prompt engineering, to ML/AI models and model management and more. You will interpret the results of the original analyses at a high level, but then also summarize the opportunities with AI which were explored and how well they worked with recommendations for the future.
Requirements
- Interest in working within the biotechnology / healthcare industry
- Strong coding skills (preferably SQL, Python, SAS, or R)
- Ability to clean, manipulate, and then translate big datasets into business insights
- Prefer experience with using computing platforms like Databricks
- Experience with study design, observational data and data analysis
- Comfortable experimenting with AI tools in a responsible manner
- Curious, adaptable and eager to learn new skills in a cross-disciplinary environment
- Legal authorization to work in the U.S.
- At least 18 years of age prior to the scheduled start date.
- Currently enrolled in an accredited community college, college, university or skills program/apprenticeship.
- Currently enrolled in a Bachelors, Masters, or PhD program
- Majoring in Data Science, Biostatistics, Epidemiology, Computer Science, Engineering, or other related fields
Nice To Haves
- Prefer experience with using computing platforms like Databricks
Responsibilities
- familiarizing self with data processing platforms and internal datasets
- operationalizing patient cohorts and diagnoses
- compiling table shells and mock data visualizations
- cleaning and manipulating big data via code (e.g., SQL) and AI tools
- writing interpretations of analysis results
- documenting analysis methods
- meetings with RWD team members
Benefits
- Company paid holidays
- Commuter benefits
- Employee Resource Groups participation
- 80 hours of sick time per calendar year
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What This Job Offers
Career Level
Intern
