Onsite Biostatistics & Statistical Programming Intern

Regeneron Pharmaceuticals, Inc.

Village of Tarrytown (NY)

On-site

USD 25,000 - 70,000

Full time

6 days ago
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Benefits offered by this job

Annual bonuses or incentive plans
Equity awards
Pension or retirement benefits
401(k) company match
Health and wellness programs
Fitness centers
Insurance benefits (medical, dental, V
Paid time off
Family support benefits

Job summary

Regeneron Pharmaceuticals, Inc. invites interns and co-op students to work on-site in Warren, NJ or Tarrytown, NY from May/June through August. The program offers hands‑on data analysis, statistics methods development, and interactive R Shiny projects in a collaborative environment.

Strong R skills (and often Python or SAS) and coursework in statistics are expected, with opportunities for PhD‑level students in related fields. Enrollment in an undergraduate or graduate program is required.

Qualifications

  • Must be enrolled in an academic program pursuing an Undergraduate or Graduate degree and returning after the position.
  • GPA 3.0 or higher preferred.
  • Strong background in statistics and data analysis.

Responsibilities

  • Apply statistics and programming to clinical trial data analysis.
  • Develop new statistical methods and Shiny apps for regulatory submissions.
  • Automate data derivations and reusable analysis tools.
  • Work on projects from methodology research to hands-on programming.
  • Collaborate with teams on visualization libraries and data pipelines.

Skills

R skills
Python
SAS
Statistics coursework
Leadership demonstrated

Education

Undergraduate or Graduate degree enrollment
Majors in Statistics/Biostatistics/Data Science/Math/CS

Tools

R
Python
SAS

Job description

Regeneron Pharmaceuticals, Inc. invites interns and co-op students to work on-site in Warren, NJ or Tarrytown, NY from May/June through August. The program offers hands‑on data analysis, statistics methods development, and interactive R Shiny projects in a collaborative environment.

Strong R skills (and often Python or SAS) and coursework in statistics are expected, with opportunities for PhD‑level students in related fields. Enrollment in an undergraduate or graduate program is required.

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