2027 Summer Intern Genomics, Computational Biology & Translational Data Science
About The Position
Regeneron is hiring multiple 2027 interns for its Genomics, Computational Biology & Translational Data Science teams, including the Regeneron Genetics Center and Research data science groups. These teams work with large-scale genetic, clinical, and molecular data and machine learning to identify drug targets, understand disease, and guide medicine development. Interns will contribute to a science-driven organization focused on developing medicines for people with serious diseases. The internship is full-time and onsite in Tarrytown and Sleepy Hollow, New York, from May/June through August. Interns analyze biological data and present findings to scientists. Projects may involve biobank genome-wide association studies; developing clinical and health-related phenotypes; analyzing biomarker and gene-expression data; building analysis pipelines and dashboards; applying deep learning to pathology images and DNA sequences; using AI tools for protein design; and evaluating digital health sensor data. Programming in Python or R and some statistics are typically expected. Genetics or biology coursework is helpful, and many projects are better suited to master's or PhD students. Applicants must be enrolled in or accepted to an undergraduate or graduate degree program and must return to school the following semester or graduate after the internship. A cumulative GPA of at least 3.0 and demonstrated leadership are preferred. The hourly pay range for these locations is $17.90–$50.90, determined by education level and degree program.
Requirements
- Must be enrolled in or accepted to an undergraduate or graduate academic program and returning to school the semester after the position or graduating after the position.
- Programming in Python or R and some statistics are typically expected.
- Relevant majors include Statistics, Biostatistics, Data Science, Bioinformatics, Computational Biology, Computer Science, Genetics, and Biology.
Nice To Haves
- Genetics or biology coursework is helpful.
- Demonstrated leadership through campus activities, clubs, sports, current or previous work, or community involvement is preferred.
- Cumulative GPA of 3.0 or higher is preferred.
- Many projects are better suited to master's or PhD students.
Responsibilities
- Analyze large-scale biological data to identify connections among genes, proteins, and health outcomes.
- Contribute to projects that may include genome-wide association studies using biobank data, clinical and health-related phenotype development, biomarker and gene-expression analyses, analysis pipeline and dashboard development, deep learning for pathology images and DNA sequences, AI-assisted protein design, and evaluation of digital health sensor data.
- Use programming and statistics to conduct computational analyses.
- Present findings to scientists.
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, insurance benefits (medical, dental, vision, life, and disability), paid time off, and family support benefits. Availability depends on country and role.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
