2027 Summer Co op Cell Line and Vector Development GMU CMC Waltham MA

Sanofi•Waltham, MA

7d•$29 - $60•Onsite

About The Position

Sanofi is seeking a highly motivated co-op student to join its Cell Line and Vector Development GMU CMC team in Waltham, Massachusetts, for a six-month program. The role works at the intersection of cell line development, vector development, data science, and artificial intelligence and machine learning to advance process understanding and accelerate CMC development activities. The co-op offers hands-on experience applying computational and data-driven approaches to biological and manufacturing challenges. The student will collaborate with scientists across Cell Line and Vector Development, Analytical Development, Process Development, and Digital/Data Science functions, and will receive mentoring and guidance while contributing to projects supporting AAV-based gene therapy programs.

Requirements

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 employment visa sponsorship at the time of application or in the future. Students on CPT, OPT, or STEM OPT generally do not meet this requirement unless eligible for an alternative long-term status that does not require company sponsorship.
Must remain enrolled in an accredited college or university throughout the co-op/internship.
Must be able to relocate to the office location and work 40 hours per week, Monday through Friday, for the full duration of the co-op/internship.

Nice To Haves

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 such as PLS or PCA.
Experience with data pipeline development, API integration, or connecting software to instruments.
Familiarity with Design of Experiments tools such as JMP, Spotfire, or similar tools for structured experimental planning.
Experience with laboratory automation platforms such as Hamilton, Tecan, Biomek, or similar liquid handling systems.
Basic familiarity with molecular biology concepts, cell culture, viral vectors, or gene therapy; prior experience is not required, and curiosity and willingness to learn biology in context are 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.

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 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.