2027 Spring Co-op Process and CMC Data Science, Waltham, MA
- Compensation
- Not disclosed
- Location
- Waltham, MA
- Work setup
- Hybrid
- Seniority
- Intern
- Employment
- Internship
- Experience
- Not specified
- Category
- Data science
- Posted
Skills
Must have
- Pursuing a Master's or PhD in Chemical Engineering, Biochemical Engineering, Mechanical Engineering, Computational Science, Biomedical Engineering, Applied Mathematics, or a related quantitative field
- 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,
- 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.
Nice to have
- Foundational knowledge of mRNA technology, lipid nanoparticle (LNP) formulation, or biopharmaceutical manufacturing processes.
- Experience developing physics-informed or physics-constrained ML, first-principle models including CFD (Ansys Fluent), Molecular Dynamics (GROMACS, LAMMPS, VMD), or Quantum Chemistry (Gaussian, ORCA)
- Proficiency in one or more modeling and programming tools: Ansys Fluent, Python (must) (BOTorch, PYOMO), Julia, MATLAB, or gPROMS.
- Familiarity with Design of Experiments (DoE), uncertainty quantification, or 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.
Full description
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—including Computational Fluid Dynamics (CFD), Molecular Dynamics, and Quantum Chemistry simulations—for critical drug-product unit operations such as T-mixing and Tangential Flow Filtration (TFF) to accelerate mRNA-based process development.
You will gain hands-on experience with mRNA technology and drug-product formulation and fill-finish operations while applying advanced simulation and modeling techniques. This is a unique opportunity to contribute to cutting-edge biopharmaceutical research at the intersection of computational 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-product unit operations such as T-mixing and TFF in collaboration with your supervisor and cross-functional team members.
- Apply CFD, Molecular Dynamics, and/or Quantum Chemistry simulations to characterize mixing behavior, nanoparticle formation, or molecular-level interactions relevant to lipid nanoparticle (LNP) formulation.