Job Title: Summer-Fall 2026 Co-Op - Process Modelling
Location: Framingham, MA
Are you ready to shape the future of medicine? The race is on to speed up drug discovery and development to find answers for patients and their families. Your skills could be critical in helping our teams accelerate progress.
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.
This project aims to develop high fidelity models to support development of protein capture and polishing steps. In addition to model development and calibration, this project will explore the use of alternative error metrics and advanced tools to improve model evaluation and robustness. The candidate may also leverage optimization and uncertainty quantification tools to enhance model calibration and sensitivity analysis. These efforts are expected to increase model fidelity and build confidence for broader application in process development.
We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve peoples lives. Were 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?
Basic qualifications:
Preferred Qualifications:
The salary range for this position is $45-$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 a provided 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 status, sex, gender, gender identity or expression, disability, veteran or military status, or any other characteristic protected by law.
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