Job Title: 2027 Summer Co op Cell Line and Vector Development GMU CMC

• 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 Summer Co-op to join our Cell Line and Vector Development GMU CMC team.

The successful candidate will work at the intersection of cell line development, vector development, data science and artificial intelligence/machine learning (AI/ML) to advance process understanding and accelerate CMC development activities.

This position offers a unique opportunity to gain hands-on experience applying computational and data-driven approaches to biological and manufacturing challenges, while collaborating with scientists across Cell Line and Vector Development, Analytical Development, Process Development, and Digital/Data Science functions.

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

• Support Cell Line and Vector Development activities for AAV-based gene therapy programs.
• Analyze experimental and process development datasets using statistical and computational tools.
• Develop data visualizations, automated workflows, and predictive models to support scientific decision-making.
• Apply AI/ML approaches to improve process understanding, identify trends, and optimize development workflows.
• Develop and/or operate automated laboratory workflows using liquid handling platforms (e.g., Hamilton, Tecan) and integrated robotic systems to support high-throughput cell line screening and vector production.
• Assist with experimental design, data interpretation, and presentation of results.
• Collaborate with cross-functional teams to integrate data-driven approaches into CMC development activities.
• Present findings, recommendations, and project updates to team members and stakeholders.
• Contribute to knowledge sharing and adoption of AI/ML capabilities across the organization.

About you

 Basic Qualifications:

• Currently pursuing a Bachelor's, Master's, or Ph.D. degree in Bioengineering, Biomedical Engineering, Biotechnology, Computational Biology, Data Science, Chemical Engineering, Life Sciences, or a related field with plans to graduate after completion of the co-op.
• 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:

• Proficiency in Python for data analysis, automation scripting, and/or machine learning; experience with libraries such as scikit-learn, pandas, NumPy, TensorFlow, or PyTorch is a strong plus.
• Familiarity with machine learning, statistical modeling, or multivariate data analysis (e.g., PLS, PCA).
• Experience with data pipeline development, API integration, or connecting software to instruments.
• Familiarity with Design of Experiments (DoE) tools such as JMP, Spotfire, or similar for structured experimental planning.
• Experience with laboratory automation platforms such as Hamilton, Tecan, Biomek, or similar liquid handling systems is highly desirable.
• Basic familiarity with molecular biology concepts, cell culture, viral vectors, or gene therapy is beneficial but not required. Curiosity and willingness to learn biology in context is valued.
• Experience organizing, visualizing, and interpreting complex biological datasets.
• Strong analytical, problem-solving, and communication skills.
• Ability to work effectively both independently and within a cross-functional team environment.
• Interest in applying AI/ML techniques to accelerate biopharmaceutical and gene therapy development.

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 $29.00 - 60.00 USD hourly. All compensation will be determined commensurate with demonstrated experience.

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Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

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US and Puerto Rico Residents Only

Sanofi Inc. and its U.S. affiliates are Equal Opportunity employers committed to a culturally inclusive 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.