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Job Title:2027 Spring Co-op Process and CMC Data Science

• Grade:Co-op

• Location:Waltham, MA

• Duration:6 months

About the Job

Looking to launch your career at the cutting edge of healthcare? Join Sanofi for a chance to develop with mentoring and guidance from inspirational leaders while helping to make an impact on the lives of countless people worldwide. We are seeking a highly motivated Spring Co-op to join our Process and CMC Data Science team.

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.

The Co-op position is located in the Data and Computational Science (DCS) department within Sanofi's mRNA Center of Excellence (mRNA CoE). In this role you will develop first-principle, machine-learning (ML), and hybrid models for critical drug-substance unit operations—including In-Vitro Transcription (IVT), Tangential Flow Filtration (TFF), and Chromatography—to accelerate mRNA-based process development.

You will gain hands-on experience with mRNA technology and drug-substance manufacturing operations while applying advanced modeling techniques. This is a unique opportunity to contribute to cutting-edge biopharmaceutical research at the intersection of data science and process engineering.

Ready to grow your skills while helping shape the future of healthcare? At Sanofi, you’ll be empowered to learn, ask questions, and bring your ideas to life – all while supported by inspiring mentors and collaborative teams.

About Sanofi

We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

Main Responsibilities

• Develop and validate first-principle, ML, and hybrid models for drug-substance unit operations such as IVT, TFF, and Chromatography in collaboration with your supervisor and cross-functional team members.

• Investigate the impact of process parameters on critical quality attributes (CQAs) and quantify associated uncertainties using statistical and computational methods.

• Design and execute Design of Experiments (DoE) for model structure selection, parameter estimation, and process optimization.

• Analyze experimental and simulation data to generate actionable insights that inform process development decisions.

• Document modeling workflows, results, and recommendations in clear technical reports and presentations.

About You

Basic Qualifications:

• Pursuing a Master's por PhD in Chemical Engineering, Biochemical Engineering, Biochemistry, Data Science, Computer Science, Biomedical Engineering, Applied Mathematics, Analytical Chemistry, Physics, Software Engineering or a related quantitative field at an accredited college or university.

• 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 Internal requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.

• Must be enrolled in an accredited college or university throughout the duration of the co-op/internship. 

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

Preferred Qualifications:

• Foundational knowledge of mRNA technology or biopharmaceutical manufacturing processes.

• Experience developing physics-informed or physics-constrained ML, first-principle, or hybrid dynamic models for physical or biological systems.

• Proficiency in one or more modeling and programming tools: Python (must-have) (BOTorch, PYOMO), MATLAB (nice to have), Julia, or gPROMS (nice to have).

• Nice to have: First-principle models, machine-learning, chromatography optimization,ML models para IVT, purification, chromatography processes

• Familiarity with Design of Experiments (DoE), uncertainty quantification, and Bayesian optimization.

• Strong written and verbal communication skills with the ability to present technical results to diverse audiences.

• Minimum cumulative GPA of 3.0 on a 4.0 scale.

Why Choose Us

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

• Stretch your skills through apprenticeships, internships, graduate programs, and international experiences that grow with you.​

• Learn from inspiring mentors and collaborative teams while contributing to real projects that shape the future of healthcare.​

• Build your future with access to the latest tools, digital innovation, and continuous learning that keep you ahead of the curve

Compensation​

The salary range for this position is $35.00-$60.00 hourly. All compensation will be determined commensurate with demonstrated experience.

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Toujours Progresser. Découvrir l’Extraordinaire.

Rejoignez Sanofi et entrez dans une nouvelle ère de la science – où votre parcours peut être aussi transformateur que le travail que nous accomplissons. Nous investissons en vous pour que vous alliez plus loin, accélériez votre réflexion et accomplissiez ce qui n’a jamais été fait auparavant. Vous contribuerez à repousser les limites, à bousculer les conventions et à concevoir des solutions plus intelligentes pour les communautés que nous servons. Prêt·e à poursuivre les miracles de la science et à améliorer la vie des gens ? Poursuivons le progrès et découvrons l’extraordinaire – ensemble.

Chez Sanofi, nous croyons dans l’égalité des chances, sans distinction de race, de couleur, d’ascendance, de religion, de sexe, d’origine, d’orientation sexuelle, d’âge, de citoyenneté, d’état civil, de handicap, d’identité de genre ou de tout autre critère protégé par la loi.