Global Quality Co-op: Automation & Regulatory Insights

Bms; Madison (NJ); Hybride; USD 39 000 - 41 000; Plein temps

Résumé du poste

Bristol-Myers Squibb in Madison, NJ is offering a Spring 2027 Co-op in Global Quality for the Commercial Specification Committee. You will help design digital tools to automate JoS reviews, maintain regulatory intelligence, and automate CSC administrative workflows.

This role emphasizes data analytics, tool development, and cross-functional collaboration in a dynamic biotech setting. The co-op seeks students in CS/Data Science/Regulatory Science or related digital disciplines with strong

Qualifications

• Pursuing a Bachelor's degree with minimum 3.0 GPA; enrolled prior semester.
• Majors: CS, Data Science, Regulatory Affairs/Regulatory Science, or a Digital/Tech discipline.
• Strong analytical skills and ability to translate regulatory guidance into structured logic.
• Excellent written and verbal communication; organized; able to work in a matrixed environment.
• Authorized to work in the US for duration; visa sponsorship not available.

Responsabilités

• Design and build digital tools to automate JoS package review and identify gaps.
• Develop regulatory intelligence repository and derive HA precedent summaries.
• Assist automation of CSC administrative processes (calendar, SharePoint, docs, distribution).
• Support template automation for Specification Proposal and JoS templates.

Connaissances

Python

Data analysis

Excel

Regulatory guidance

Formation

Bachelor's in Computer Science

Bachelor's in Data Science

Regulatory Affairs/Regulatory Science

Digital/Technology discipline

Outils

SharePoint

Description du poste

Bristol-Myers Squibb in Madison, NJ is offering a Spring 2027 Co-op in Global Quality for the Commercial Specification Committee. You will help design digital tools to automate JoS reviews, maintain regulatory intelligence, and automate CSC administrative workflows.

This role emphasizes data analytics, tool development, and cross-functional collaboration in a dynamic biotech setting. The co-op seeks students in CS/Data Science/Regulatory Science or related digital disciplines with strong