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Cambridge MA Spring 2027 Co-op Biologics Design and AI

SanofiCambridge, MAPosted 3 hours ago

Pay
$100k – $125k
per year
Type
Internship
Spring 2027
Where
Cambridge, MA
Who
Master's or PhD
Students
Visa
No sponsorship
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About the Job

Looking to launch your career at the cutting edge of healthcare? Join Sanofi to develop with mentoring and guidance from inspirational leaders while making an impact on the lives of people worldwide. We are seeking a highly motivated Spring Co-op to join our Biologics Design and AI team.

As a Data Scientist Spring Co-op, you will work on an innovative project that bridges 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 complex. You will work closely with computational biologists and AI scientists to build agentic workflows that reason over structural data, orchestrate predictive tools, and map protein sequences to critical therapeutic properties, helping accelerate our biologics pipeline.

About Sanofi

Sanofi is an R&D-driven, AI-powered biopharma company focused on improving people's lives. Our understanding of the immune system and our pipeline help us invent medicines and vaccines that protect millions of people worldwide.

Main Responsibilities

  • LLM Fine-Tuning & Cross-Modal Adaptation: Fine-tune conversational LLMs to interface with and reason over data from specialized protein prediction models, using parameter-efficient techniques such as LoRA and PEFT. Adapt these models to understand protein sequences, structural embeddings and biophysical constraints, and build hybrid architectures to improve prediction of antibody and nanobody properties such as binding affinity and thermal stability.
  • Collaboration & Reporting: Work closely with experimental protein engineers and computational biologists to understand biological constraints, define agent objectives and validate model predictions. Present methodologies, insights and model performance to cross-functional R&D teams at the end of the spring term.

Why Choose Us

  • Bring the miracles of science to life alongside a supportive, future-focused team.
  • Stretch your skills through apprenticeships, internships, graduate programs and international experiences.
  • Learn from inspiring mentors and collaborative teams while contributing to real projects that shape the future of healthcare.
  • Build your future with access to the latest tools, digital innovation and continuous learning.

Skills mentioned

  • Python
  • PyTorch
  • TensorFlow
  • LLM fine-tuning
  • JAX
  • AlphaFold

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