2027 Spring Co-op Biologics Design and AI Cambridge MA

About the Job

Sanofi is seeking a highly motivated and intellectually curious Data Scientist Spring Co-op to join our Biologics and Design AI team. In this role, you will be at the forefront of a highly innovative project: bridging the world of Large Language Models (LLMs) and autonomous AI agents with biophysical protein predictive models.

Biologics like antibodies and nanobodies are highly effective therapies but optimizing them is a complex challenge. You will closely work with computational biologists and AI scientists to build intelligent, agentic workflows that can reason over structural data, orchestrate predictive tools, and map protein sequences to critical therapeutic properties, ultimately accelerating our biologics pipeline.

Main Responsibilities

• LLM Fine-Tuning & Cross-Modal Adaptation: Fine-tune conversational, natural language LLMs to directly interface with and reason over data from specialized protein prediction models. Using parameter-efficient techniques (e.g., LoRA, PEFT), adapt these human-language models to comprehend protein sequences, structural embeddings, and biophysical constraints. Build hybrid architectures designed to enhance the accuracy of critical antibody and nanobody property predictions, such as binding affinity and thermal stability.
• Collaboration & Reporting: Partner closely with experimental protein engineers and computational biologists to understand biological constraints, define the agent's objectives, and validate model predictions, ultimately presenting your methodologies, insights, and model performance to cross-functional R&D teams at the conclusion of the spring term.

Basic Qualifications

• Currently pursuing a Master's or PhD degree in Computer Science, Data Science, Computational Biology, Bioinformatics, Bioengineering, or related field with plans to graduate by Spring 2027 (or 2028).
• 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.
• 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

• Previous academic projects or industry experience demonstrating the application of NLP, LLMs, or agentic workflows to complex, ideally scientific, problems.
• Familiarity with biological data, specifically protein sequences and 3D structures.
• Basic domain knowledge in immunology, structural biology, or biophysics.
• Strong programming skills in Python and standard data science libraries.
• Hands-on experience with LLM fine-tuning methodologies and orchestration frameworks.
• Experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• Experience using state-of-the-art AI tools for biology (e.g., Protein LLMs, AlphaFold, Rosetta).
• Excellent problem-solving communication skills, with a passion for working at the intersection of generative AI and healthcare.
• Fluent in English.