Winter-Spring 2026 Co-Op - Process Modelling

Job Title: Winter-Spring 2026 Co-Op - Process Modelling

The proposed position is based within the Process Modeling and Data Science group within CMC Development, R&D. Our group is comprised of process modelers and data scientists focused on using mechanistic, data-driven, and hybrid models to accelerate process development activities.

We are interested in developing a metabolic model for antibody-producing Chinese hamster ovary (CHO) cells. In collaboration with the Cell Culture Platform (CCP) team, our goal is to be able to accurately simulate intracellular fluxes within the cell and use this information to predict how the cells would respond to changing culture conditions. In silico experiments can then be carried out to generate insights that support process and media optimization efforts.

The ideal co-op candidate will have knowledge and hands-on experience in modeling mammalian cell metabolism using conventional approaches, such as flux balance analysis (FBA) or metabolic flux analysis (MFA). Understanding of experimental data in the form of growth rates, specific consumption and secretion rates, intracellular pool sizes, and/or isotopic labeling patterns will be needed in order to incorporate them into the model as constraints.

This is an exciting opportunity to demonstrate the benefits of process modeling and data science towards accelerating the development of cutting-edge medicines that will improve the quality of life for patients across the world.

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?

About You

Basic Qualifications:

• Currently pursuing a PhD in Chemical Engineering, Biochemical Engineering, or Bioengineering or related field at an accredited college or university 

• Experience developing FBA or MFA models using either custom code or existing open-source tools (COBRA, Metran, INCA, etc.)

• Strong coding skills in languages such as Python, MATLAB, or R

Preferred Qualifications:

• Comfortable working in a cross-functional environment consisting of both modelers and cell culture scientists

• Research experience in developing metabolic models for CHO cell-based antibody production

• Familiarity with experimental workflows relevant to metabolic modeling (extracellular flux measurements, intracellular metabolite extraction, isotope labeling quantification, etc.)

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. 

The salary range for this position is ​$57-$60 hourly​. All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through LINK

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 identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.