Summer-Fall 2026 DSD Process Modeling Co-op

Job Title: Summer-Fall 2026 DSD Process Modeling Co-op

Location: Framingham, MA

About the Job

We deliver 4.3 billion healthcare solutions to people every year, thanks to the flawless planning and meticulous eye for detail of our Manufacturing & Supply teams. With your talent and ambition, we can do even more to protect people from infectious diseases and bring hope to patients and their families.

The Co-op position is based in the Manufacturing Science and Technology (MSAT) department supporting the activities in the Data Science and Digital Transformation (DSD) Process Modeling and Control Team. This position will focus on modeling bioreactors and cell culture processes. The candidate will have opportunities to learn about bioreactor operations and applications of digital tools in biologics process development and manufacturing.

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?​

Main Responsibilities:

• Modify existing simulations to adapt to process changes and better understand the cell culture process

• Use simulations and process data to identify atypical results

• Test capabilities of simulation platform and user interface for application to a new use case

• We deliver 4.3 billion healthcare solutions to people every year, thanks to the flawless planning and meticulous eye for detail of our Manufacturing & Supply teams. With your talent and ambition, we can do even more to protect people from infectious diseases and bring hope to patients and their families. Work as part of a team, engaging with other scientists and engineers with complementary skill sets

• Generate documents (presentations, user guides, reports) related to learnings and achievements

About You

Basic Qualifications:

• Currently enrolled and pursuing a Bachelor’s, Master’s, or PhD in Chemical Engineering, Biological Engineering, Biochemistry, Computer Science, or a related field at an accredited college or university with the expectation that you will complete your current degree by the Spring of 2027

• Must be able to relocate to the office location and work 40hrs/week, Monday-Friday, for the full duration of the co-op/internship

• Must be permanently authorized to work in the U.S. and not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually require future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship 
   

Preferred Qualifications:

• Knowledge of computer programming concepts (Python preferred)

• Understanding of basic chemical reaction mechanisms and empirical equations

• Understanding of basic concepts of cell growth and metabolism

• Experience with scientific literature search
   

Why Choose Us?

• Bring the miracles of science to life alongside a supportive, future-focused team. 

• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally. 

• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. 

• Exposure to cutting-edge technologies and research methodologies. 

• Networking opportunities within Sanofi and the broader biotech community. 

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender ide