2027 Spring Co-op Media and Metabolic Profiling Development, Framingham, MA
Sanofi · Framingham · $45–$57/hr (stated in the posting)
Job Title: 2027 Spring Co-op Media and Metabolic Profiling Development
Grade: Co-op
Location: Framingham, 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. As Spring Co-op in our Media and Metabolic Profiling Development team.
CCP is globally responsible for providing solutions to process challenges through the development and application of platform cell culture media and innovative upstream process technologies throughout CCD. We are a dynamic team charged with identifying process pain points and resolving the underlying problems, generating compelling data from relevant proof of concept studies, and designing novel process platforms in collaboration with Upstream Development colleagues.
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:
The successful candidate will work with their supervisor to independently design, plan, and conduct cell culture experiments at different scales, including shake flasks, ambr15, ambr250, and 3L/10L bench-top bioreactors to support platform development initiatives.
Process and analyze experimental results using data automation platforms, interpreting outcomes such as growth rates, nutrient uptake/secretion profiles, and intracellular metabolite levels to support media development efforts.
Collaborate with the modeling team to generate high-quality experimental data that constrains and validates computational models, applying coding skills to support flux balance analysis (FBA), metabolic flux analysis (MFA), kinetic modeling, and other computational metabolic modeling workflows.
You will have the opportunity to contribute to protocol and report writing, and present findings in respective functional areas.
You will be exposed to cell culture development platforms and potentially involved in multiple projects, such as fed-batch process development, perfusion process development, media development, and high-throughput automation development.
Prepare samples for LC-MS analysis using automated liquid handling technology and process the results using a data automation platform.
About You
Basic Qualifications:
Currently enrolled in a Master's or PhD degree program in Chemistry, Biochemistry, Chemical Engineering, Biological Engineering or a related 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, 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:
Experience with aseptic technique and mammalian cell culture.
Strong interest in integrating experimental and computational approaches to study cell metabolism.
Familiarity with metabolic modeling frameworks such as flux balance analysis (FBA), metabolic flux analysis (MFA), or kinetic modeling.
Experience with automated liquid handlers (Tecan, Hamilton) and high-throughput automation.
Experience with statistical analysis and data visualization tools.
Strong computer skills and comfort working with large datasets.
Demonstrated coding proficiency (Python, MATLAB, R, or similar)
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 for this position is $45-57 USD hourly. All compensation will be determined commensurate with demonstrated experience.
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