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Summer-Fall 2026 Co-Op - Data and Computational Science, mRNA Center of Excellence - Vaccine

Sanofi

Company : Sanofi

Location : Waltham, MA, 02451

Posted Date : 8 October 2025

Job Details

Summer-Fall 2026 Co-Op - Data and Computational Science, mRNA Center of Excellence - Vaccine

Join Sanofi's mRNA Center of Excellence (mRNA CoE) as a Co-op in the Data and Computational Science (DCS) department, supporting the CMC Data Science group. This role focuses on developing first-principle and machine learning (ML) models for unit operations such as Tangential Flow Filtration (TFF) and Chromatography in process development.

You'll gain hands-on experience with mRNA technology and unit operations, while applying modeling techniques in a non-GMP laboratory setting. This is a unique opportunity to contribute to cutting-edge biopharmaceutical research and innovation.

We are an innovative global healthcare company that helps the world stay ahead of infectious diseases by delivering more than 500 million vaccine doses a year. Across different countries, our talented teams are exploring new technologies to protect people and promote healthy communities. We chase the miracles of science every single day, pursuing progress to make a real impact on millions of patients around the world.

Main Responsibilities:

  • Collaborate with your supervisor to develop first-principle and ML models for various unit operations, including TFF and Chromatography.
  • Investigate the impact of process parameters on product quality attributes and quantify associated uncertainties.
  • Design model-based Design of Experiments (DoE) for model structure selection and parameter optimization

About You

Basic Qualifications:

  • Currently enrolled and pursuing a bachelor's degree, master's degree, or PhD in Biology, Chemical or Biochemical Engineering, 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 2028.
  • 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 authorized to work in the US for the duration of the co-op.

Preferred Qualifications:

  • Foundational knowledge of mRNA technology.
  • Experience with ML, first-principle, or hybrid dynamic modeling.
  • Familiarity with mathematical and modeling tools such as Python (scikit-learn), Julia, MATLAB, PYOMO, or gPROMS.

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 $29-$60 hourly. All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs.

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.

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