2027 Summer Intern Data Science & Digital Innovation (IOPS)
About The Position
Regeneron is seeking multiple 2027 interns for its Data Science & Digital Innovation teams within Industrial Operations and Product Supply (IOPS). These teams ensure high-quality data flows reliably across systems and supports proactive, predictive analytics. They integrate well-governed AI to reduce manual work and streamline sourcing and procurement processes. Interns will contribute to projects that make manufacturing data easier to understand and use. Projects may include building dashboards and data visualization tools; automating statistical analyses; comparing and trending manufacturing data across batches, sites, and process areas; normalizing observations against production and raw-material consumption rates; and using AI tools, including generative AI, to manage documents and datasets. Some projects use advanced statistical methods, including multivariate analysis, design of experiments, control charts, and forecasting, with results presented through business analytics platforms such as Power BI. A few projects are better suited to graduate students. A biology background is not needed for most roles; strong coding and analytical skills are important. The internship is full-time and onsite in Rensselaer, East Greenbush, or Troy, New York, from May or June through August 2027. Applicants must be enrolled in or accepted to an undergraduate or graduate academic program and must return to school the semester after the position or graduate after the position. The stated hourly pay range for these locations is $17.90–$25.50, with rates determined by education level and degree program.
Requirements
- Must be enrolled in or accepted to an academic program pursuing an undergraduate or graduate degree.
- Must be returning to school the semester following the position or graduating after the position.
- Strong coding and analytical skills.
- Familiarity with Excel, Python or R, SQL, Power BI, and statistical tools such as JMP is typically required.
Nice To Haves
- Demonstrated leadership in campus activities, clubs, sports, current or previous work, or the community.
- Cumulative GPA of 3.0 or higher.
- Relevant majors include Computer Science, Data Science, Statistics, Bioinformatics, Biomedical Engineering, Chemical Engineering, Mathematics, Industrial Engineering, and Supply Chain.
- Graduate students may be better suited to some projects.
Responsibilities
- Build dashboards and data visualization tools.
- Automate statistical analyses.
- Compare and trend manufacturing data across batches, sites, and process areas.
- Normalize observations against production and raw-material consumption rates.
- Use AI tools, including generative AI, to streamline the management of documents and datasets.
- Apply advanced statistical methods, including multivariate analysis, design of experiments, control charts, and forecasting, and report results through business analytics platforms such as Power BI.
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.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
