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Sanofi · 1 day ago

AI Agent Development in Non-Clinical Biostatistical Research Fall Co-op

Cambridge, MA

Full-time

Onsite

New Grad

Sanofi is an R&D-driven, AI-powered biopharma company committed to improving people’s lives. They are inviting applications for a Fall 2026 co-op focused on developing AI agents to support innovation in non-clinical biostatistical research, offering a unique opportunity to work at the intersection of data science, artificial intelligence, and pharmaceutical research.

Health CareLife SciencePharmaceuticalTherapeutics

No H1B

Responsibilities

Design, prototype, and evaluate AI agents to enhance automation and decision-making in non-clinical workflows

Collaborate with statisticians and digital scientists to identify impactful use cases and integrate AI solutions into research pipelines

Document development processes and present findings to cross-functional teams

Qualification

AI agent developmentPythonAI/ML librariesBiostatisticsBioinformaticsInterest in biomedical researchProblem-solvingCollaboration

Required

Currently enrolled and pursuing a bachelor's degree or master's in Artificial Intelligence, Computer Science, Computer Engineering, Biostatistics, Bioinformatics, or related field at an accredited college or university with the expectation that you will complete your current degree by the Spring of 2027

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

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

Hands-on experience building AI agents, including multi-agent systems or agent orchestration frameworks

Familiarity with concepts such as Model Context Protocol (MCP) servers and integrating agents with chat-based interfaces (e.g., Claude Code, OpenAI Assistants) for scientific querying

Proficiency in Python and experience with AI/ML libraries (e.g., PyTorch, TensorFlow, LangChain, Hugging Face Transformers)

Preferred

Strong problem-solving skills and ability to work independently and collaboratively

Interest in biomedical research, drug development, or translational science

Benefits

Exposure to real-world applications of AI in pharmaceutical R&D

Mentorship from both statistical and digital innovation teams

Opportunity to contribute to strategic initiatives shaping the future of non-clinical research

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.