Job Title: Summer-Fall 2026 Co-Op – Process Modelling

Location: Framingham, MA

About The Job

Are you ready to shape the future of medicine? This position offers a critical role in accelerating drug discovery and development to find answers for patients and their families within an innovative global healthcare company.

The proposed position is based within the Process Modeling and Data Science group within CMC Development, R&D. This group specializes in using mechanistic, data-driven, and hybrid models to accelerate process development activities.

The primary project focus is to develop high-fidelity models to support the development of protein capture and polishing steps. Beyond model development and calibration, the project will delve into exploring alternative error metrics and advanced tools to enhance model evaluation and robustness. The candidate will also have the opportunity to leverage optimization and uncertainty quantification tools to improve model calibration and sensitivity analysis. These efforts are crucial for increasing model fidelity and building confidence for broader application in process development.

Join a company where you can flourish and grow your career, with countless opportunities to explore, connect, and stretch the limits of what you thought was possible.

Main Responsibilities

The ideal co-op candidate will be responsible for:

• Applying knowledge and hands-on experience in modeling of chromatography using mechanistic approaches (e.g., transport-dispersive, general rate, or lumped rate) or hybrid approaches.
• Collaborating effectively with downstream scientists, utilizing an understanding of experimental requirements to iteratively improve the overall modeling workflow.
• Demonstrating the benefits of process modeling and data science in accelerating the development of cutting-edge medicines.

About You

Basic Qualifications:

• Currently pursuing a master’s degree or PhD in Chemical, Biochemical Engineering or a related field at an accredited college or university.
• Ability to relocate to the office location and work 40 hours/week, Monday-Friday, for the full duration of the co-op.
• Must be authorized to work in the US for the duration of the co-op.
• Demonstrated programming skills in languages such as Python, MATLAB, or R.
• Experience in developing mechanistic or hybrid models for chromatography using either custom code or existing tools (e.g., GoSilico, Cadet).

Preferred Qualifications:

• Understanding of experimental chromatography workflows.
• Interest or experience in evaluating model performance using a variety of error metrics.
• Exposure to tools for optimization, sensitivity analysis, or uncertainty quantification.
• Experience with statistics and AI/ML.
• Ability to work effectively in a cross-functional team with modelers and downstream scientists.

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.
• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs, and at least 14 weeks’ gender-neutral parental leave.
• Exposure to cutting-edge technologies and research methodologies.
• Networking opportunities within Sanofi and the broader biotech community.

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 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.