2027 Co-op Data Analytics & Digital Tools (IOPS)

About the role

At Regeneron, we use science and innovation to develop life-changing medicines for people with serious diseases. Regeneron is currently seeking multiple 2027 Co-ops in Data Analytics & Digital Tools (IOPS) to join our Process Sciences team within Regeneron Industrial Operations and Product Supply (IOPS) Process Sciences department. This team builds data-driven tools that support process teams across Regeneron. This position offers the opportunity to contribute to a fast-growing, science-driven organization making a meaningful difference to patients worldwide.

Responsibilities

• Contribute to the development of a conversational analytics platform supporting bioprocess data analysis
• Expand data analysis dashboards to ingest additional data types from analytical tools
• Support process monitoring, manufacturing investigations, and process characterization efforts
• Build automated pipelines that unify multiple data streams and reduce manual data-processing effort
• Apply generative artificial intelligence and machine learning techniques to bioprocess data
• Support algorithm design and multi-agent system development
• Work with databases and application programming interfaces (APIs) to build data solutions
• Collaborate cross-functionally with teams across Regeneron

Requirements

• 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)
• Must be able to commit to 40 hours per week from January-August, May/June-December, or August-December

Qualifications

• Demonstrated leadership in areas such as campus activities, clubs, sports, current or previous work, or within the community preferred
• Cumulative GPA of 3.0 or higher preferred

Skills

• Relevant majors: Computer Science, Data Science, Statistics, or a related quantitative field (a biology or bioprocess background is a plus)
• Experience with databases and APIs
• Knowledge of generative AI and machine learning