2027 Summer Co op Cell Line and Vector

About The Job

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. 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.

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.

Requirements & Tech Stack

• 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 at the time of application or in the future.
• Must be enrolled in an accredited college or university throughout the duration of the co-op/internship.
• Must be able to relocate to Waltham, MA and work 40hrs/week, Monday to Friday for the full duration of the co-op/internship.

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.

Compensation

• The salary range for this position is $29.00 - $60.00 USD hourly.