Spring Co-op: Upstream Bioreactor Automation & Data

Sanofi; Framingham (MA); On-site; USD 48,000 - 79,000; Part time

Job summary

Sanofi invites a Spring Co‑op in Upstream Automatic Control Development in Framingham, MA. You will work with the Global MSAT team to develop automated bioreactor control strategies, integrate PAT tools, and contribute to data-driven process improvement for development and lifecycle management of biologics and vaccines.

Ideal candidates are pursuing a life sciences or engineering degree with strong Python skills, lab experience, and an interest in digitalization and automation within a

Qualifications

• Pursuing bachelor’s, master’s, or PhD in Chemical Engineering, Computational Science, Bioengineering, Biotechnology, Biochemistry or related fields with plans to graduate by Spring 2028
• Must be permanently authorized to work in the U.S. and not require sponsorship at time of application or in the future
• Must be enrolled in an accredited college or university throughout the duration of the co‑op/internship
• Must relocate to Framingham, MA and work 40 hours/week, Monday–Friday, for the full duration of the co‑op/internship

Responsibilities

• Develop and implement automated bioreactor control strategies integrating mammalian cell culture operations, PAT, and cloud-based control software
• Support MSAT development activities related to upstream bioreactor operation and PAT tool integration
• Collaborate with scientists and engineers to ensure reliable data flow and control performance across lab and digital platforms

Education

Bachelor's/Master's/PhD student in relevant field

Tools

Python

Lab equipment

Job description

Sanofi invites a Spring Co‑op in Upstream Automatic Control Development in Framingham, MA. You will work with the Global MSAT team to develop automated bioreactor control strategies, integrate PAT tools, and contribute to data-driven process improvement for development and lifecycle management of biologics and vaccines.

Ideal candidates are pursuing a life sciences or engineering degree with strong Python skills, lab experience, and an interest in digitalization and automation within a