Cell Line and Vector Development -Summer/Fall 2026 Co-op

Cell Line And Vector Development - Summer/Fall 2026 Co-op

Are you ready to shape the future of medicine? The race is on to speed up drug discovery and development to find answers for patients and their families. Your skills could be critical in helping our teams accelerate progress.

Our team is Building the Future of AAV CLD: Automation, Data Infrastructure and Predictive Insights. In the co-op/internship, you will get the opportunity to define quality metrics, enable structured metadata, develop ML datasets for clone selection, building on previous co-op infrastructure.

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

The proposed position is based in R&D, CMC (Chemistry, Manufacturing and Controls) Development supporting activities in the Cell Line and Vector Development group. Sanofi is committed to becoming the first biopharma to leverage AI at scale by harnessing the full value of data across our gene therapy pipeline. Our "iCMC Digital Transformation" initiative has been digitizing scientific workflows across 2,500+ users in 10+ countries, creating tremendous potential to transform our AAV vector development through data-driven approaches.

This role will directly support our vision by focusing on two key areas - Knowledge Graphs and Generative AI - with specific deliverables:

• Discover: Perform exploratory data analyses using graph visualizations of AAV production data, focusing on producer cell line characteristics, transfection efficiency, vector yield, and quality attributes
• Develop: Create knowledge graphs connecting critical relationships between AAV process operations, parameters, and materials (e.g., plasmid quality, cell line attributes, transfection conditions, etc)
• Build: Evaluate internal Large Language Models (LLMs) and develop fine-tuning approaches to enhance foundational models with AAV-specific knowledge graphs
• Accelerate: Demonstrate how combining knowledge graphs with generative AI can optimize AAV vector development through predictive modeling of process parameters and quality attributes

This is an exciting opportunity to apply cutting-edge data science to advance our AAV gene therapy platform, potentially improving vector yield, quality, and manufacturing consistency. Your work will directly contribute to the development of life-changing gene therapies that address serious genetic diseases with high unmet medical needs.

Basic Qualifications:

• Currently working towards a PhD in computer sciences or engineering or Life Sciences/Bioprocess Engineering/Chemical Engineering with the expectation that you will complete your current degree by the spring of 2027.
• Good exposure with core data science languages (with Python, and R), Snowflake and other database systems (such as SQL, NoSQL).
• Ability to create visualizations using tools like Matplotlib, Seaborn, Plotly or Tableau to communicate insights effectively
• Proficient in navigating and utilizing Unix-based operating systems
• Must be able to relocate to the office location and work 40hrs/week, Monday-Friday, for the full duration of the co-op/internship
• 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

Preferred Qualifications:

• Familiarity with bioinformatics workflows and biological data analysis.
• Basic understanding of Knowledge Graphs and Large Language Models through coursework or research experience in Artificial Intelligence.
• Sufficient organizational skills paired with strong written and verbal communication skills to effectively collaborate with cross-functional teams
• Hands-on experience with data manipulation, statistical analysis, and machine learning applied to biological datasets
• Familiarity with machine learning algorithms and frameworks like TensorFlow, PyTorch, or scikit-learn
• Knowledge and some experience of working in cloud-based environment such as AWS or GCP or Azure and using cloud-technologies for building AI-solutions
• Ability to use basic Microsoft office software such as Excel and PowerPoint.

Why Choose Us?

• Bring the miracles of science to life alongside a supportive, future-focused team.
• Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.
• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
• Exposure to cutting-edge technologies and research methodologies.
• Networking opportunities within Sanofi and the broader biotech community.

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