2027 Spring Co-op Upstream Automatic Control Development, Framingham, MA

Job Title: 2027 Spring Co-op Upstream Automatic Control 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 Upstream team .

Sanofi's Global MSAT (Manufacturing Sciences, Analytics, and Technology) acts as a crucial link between our R&D and Manufacturing entities, playing an instrumental role in enhancing our current portfolio and delivering future launches of high-quality and innovative drugs and vaccines. Global MSAT is a beacon of innovation and process excellence in Manufacturing, this includes guiding the journey of new products from their launch to commercial success, being at the forefront of Data Sciences and Digitalization. Join a team of talented and passionate international experts, scientists, and project leaders dedicated to inventing, designing, industrializing, and implementing cutting-edge industrial chemical and biological processes, analytical methods, and process modeling to successfully launch 3 to 5 new products by year.

This co-op role will provide hands-on exposure to upstream cell culture operations, process technologies, and digital and automation initiatives that support process development and lifecycle management. The position offers an opportunity to contribute to ongoing MSAT activities while gaining practical experience in a collaborative, industrial biotechnology environment.

The successful candidate will work alongside scientists and engineers supporting the development and characterization of mammalian cell culture processes, implementation of new technologies, and investigation of process improvements for both development and commercial programs. The co-op will contribute to selected laboratory and digital projects, assist with data analysis and documentation, and support cross-functional teams as needed.

This role is well suited for a motivated student interested in upstream bioprocessing, automation, and data-driven process improvement , who is eager to learn and contribute in a fast-paced, team-oriented environment with mentorship from experienced scientists and engineers.

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:

• This project focuses on the development and implementation of automated bioreactor control strategies by integrating mammalian cell culture operations, Process Analytical Technology (PAT), and cloud-based control software.
• Support MSAT development activities related to upstream bioreactor operation, including hands-on work in the lab and integration of PAT tools (e.g., Raman spectroscopy and online sensors) for real-time process monitoring.
• Develop and test control logic and software interfaces linking analytical equipment and bioreactor control systems to enable closed-loop and predictive feeding control.
• Assist with in-silico simulation, configuration, and testing of control strategies prior to and alongside lab implementation.
• Collaborate with scientists and engineers to ensure reliable data flow, system connectivity, and control performance across lab and digital platforms.
• Provide regular project updates and deliver a final technical presentation summarizing outcomes, learnings, and proposed next steps.

About You

Basic Qualifications:

• Currently pursuing a bachelor's, master's, or PhD degree in Chemical Engineering, Computational Science, Bioengineering, Biotechnology, Biochemistry or related fields with plans to graduate by Spring 2028
• 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 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-Friday, for the full duration of the co-op/internship

Preferred Qualifications:

• Hands-on experience with mammalian cell culture, aseptic technique, and basic cell biology techniques
• Experience with Python coding for data analysis, automation, or control-related applications
• Basic understanding of general concepts of cell biology, biochemistry, and laboratory procedures
• Ability to follow lab safety procedures
• Proficiency in Microsoft Office software (excel, PowerPoint, word).
• Excellent communication skills, written and verbal; able to effectively communicate with supervisor and team members
• Highly organized with a keen attention to details
• Education: A degree in a life science, or engineering, or related disciplines
• Languages: English

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 -$57 hourly. All compensation will be determined commensurate with demonstrated experience.

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