2027 Summer Intern Biostatistics & Statistical Programming

Regeneron Pharmaceuticals • Warren, MI

1d • Onsite

About The Position

Regeneron is seeking multiple 2027 interns for its Biostatistics and Statistical Programming teams. These teams design statistical approaches for clinical trials and develop programs and tools to analyze trial data and support submissions to health authorities. Interns will apply statistics and programming to clinical trial data in a science-driven organization focused on developing medicines for people with serious diseases.

Projects may involve researching statistical methods for clinical trials, building interactive R Shiny applications and reusable visualization libraries, automating data derivations and regulatory submission programs, or standardizing study programming. Opportunities range from methodology research to hands-on programming and tool development. Several projects are better suited to PhD students in Statistics, Biostatistics, Data Science, or a related field.

The internship is full-time and onsite in Warren, New Jersey, or Tarrytown, New York, from May or June through August 2027. The hourly pay range for these locations is $17.90–$50.90, with the rate determined by education level and degree program.

Requirements

• Be enrolled in or accepted to an undergraduate or graduate academic program and return to school the semester after the internship, or graduate after the internship.
• Demonstrate strong R skills; Python or SAS skills are often relevant.
• Have coursework in statistics.
• Relevant fields include Statistics, Biostatistics, Data Science, Mathematics, Bioinformatics, and Computer Science.

Nice To Haves

• Demonstrated leadership through campus activities, clubs, sports, current or previous work, or community involvement.
• Cumulative GPA of 3.0 or higher.
• PhD study in Statistics, Biostatistics, Data Science, or a related field may be a better fit for several projects.

Responsibilities

• Apply statistics and programming to the analysis of clinical trial data.
• Potentially develop statistical methods for clinical trials, including methods for multiple testing, blinded monitoring, and count or recurrent-event endpoints.
• Potentially build interactive R Shiny applications and reusable visualization libraries.
• Potentially automate data derivations and programs used for regulatory submissions.
• Potentially help standardize how studies are programmed.

Benefits

• Competitive and comprehensive total rewards package, which may include annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, medical, dental, vision, life and disability insurance, paid time off, and family support benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed