Data Analytics & Digital Tools Co-op — Onsite NY

Regeneron Pharmaceuticals, Inc.; City of Rensselaer (NY); On-site; USD 25,000 - 36,000; Full time

Job summary

Regeneron Pharmaceuticals, Inc. in Rensselaer, NY seeks multiple 2027 Co-ops in Data Analytics & Digital Tools to join the Process Sciences team.

You will help build data-driven tools that support process teams across Regeneron, contributing to a fast-growing, science-driven organization. Responsibilities include developing a conversational analytics platform, expanding dashboards, supporting process monitoring, building automated data pipelines, and applying AI/ML techniques to bioprocess data.

Qualifications

• Must be enrolled in an academic program pursuing an undergraduate or graduate degree.
• Must be able to commit to 40 hours per week from January–August, May/June–December, or August–December.
• GPA of 3.0 or higher preferred.
• Demonstrated leadership in campus activities, clubs, sports, work, or community preferred.

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 APIs to build data solutions
• Collaborate cross-functionally with teams across Regeneron

Education

Undergraduate or Graduate degree

Job description

Regeneron Pharmaceuticals, Inc. in Rensselaer, NY seeks multiple 2027 Co-ops in Data Analytics & Digital Tools to join the Process Sciences team.

You will help build data-driven tools that support process teams across Regeneron, contributing to a fast-growing, science-driven organization. Responsibilities include developing a conversational analytics platform, expanding dashboards, supporting process monitoring, building automated data pipelines, and applying AI/ML techniques to bioprocess data.