At Regeneron, we use science and innovation to develop life-changing medicines for people with serious diseases. Regeneron is currently seeking multiple 2027 Interns in Biostatistics & Statistical Programming teams. These groups design the statistics behind clinical trials and build the programs and tools that analyze trial data and support submissions to health authorities.
These positions offer the opportunity to contribute to a fast-growing, science-driven organization making a meaningful difference to patients worldwide.
When & where:
Location: Warren, NJ / Tarrytown, NY
Timeframe: Our internship positions are full-time and onsite from May/June-August
Pay: Intern and Co-op pay ranges are determined by level of education (year in school) and degree program. The hourly rate range for these locations is: $17.90-$50.90 per hour.
What you'll do:
- Apply statistics and programming to the analysis of clinical trial data.
- Projects may include developing new statistical methods for clinical trials (for example for multiple testing, blinded monitoring, and count or recurrent-event endpoints), building interactive R Shiny applications and reusable visualization libraries, automating data derivations and the programs used for regulatory submissions, and standardizing how studies are programmed.
- Roles range from methodology research to hands-on programming and tool-building.
- Strong R skills (and often Python or SAS) and coursework in statistics are expected. Several projects are better suited to PhD students in Statistics, Biostatistics, Data Science, or a related field.
Relevant majors: Statistics, Biostatistics, Data Science, Mathematics, Bioinformatics, Computer Science
Let's find out if we're a fit:
- Demonstrated leadership in areas such as campus activities, clubs, sports, current or previous work, or within the community preferred
- Must be enrolled in, or accepted to, an academic program pursuing an Undergraduate or Graduate degree (and be returning to school the semester following the position or graduating after the position)
- Cumulative GPA of 3.0 or higher preferred