Head of Agentic Biology & AI-Driven Discovery

BioSpace

Cambridge (MA)

On-site

USD 240,000 - 360,000

Full time

7 days ago
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Benefits offered by this job

High-quality healthcare
Parental leave (14 weeks)

Job summary

Sanofi Inc. in Cambridge, MA is seeking a visionary Head of Agentic Biology to lead the CompAI computational biology group.

You will architect enterprise-scale AI-first discovery pipelines, bridging wet-lab data with predictive modeling to accelerate potencies and portfolios. Lead a multidisciplinary team of scientists and ML engineers, shape strategy across immunology, inflammation, oncology, and neuroscience, and drive collaboration with internal partners and external vendors to deliver

Qualifications

  • PhD in AI, ML, Immunology, Mathematics, Physics, Biomedical Engineering, Computational Biology, Bioinformatics or closely related field.
  • 5+ years of experience in AI/ML in biotech, biopharma, or academia preferred.
  • Familiarity with agentic AI frameworks and autonomous workflow orchestration.

Responsibilities

  • Lead the design and deployment of first-generation agentic bioinformatics workflows across therapeutic programs.
  • Drive transition to proactive, predictive autonomous biological reasoning systems.
  • Translate computational discoveries into experimental validation strategies and target identification.

Skills

AI/ML leadership
Agentic AI frameworks
Biopharma domain knowledge
Team leadership
Communication to leadership

Education

PhD in AI/ML or related field
PhD in Immunology, Mathematics, or Biomedical Engineering

Tools

Owkin K-Pro
Google Co-Scientist
Phylo (Biomni)
Mithrl
PandaOmics
NVIDIA BioNeMo Agent Toolkit
Claude Science

Job description

Sanofi Inc. in Cambridge, MA is seeking a visionary Head of Agentic Biology to lead the CompAI computational biology group.

You will architect enterprise-scale AI-first discovery pipelines, bridging wet-lab data with predictive modeling to accelerate potencies and portfolios. Lead a multidisciplinary team of scientists and ML engineers, shape strategy across immunology, inflammation, oncology, and neuroscience, and drive collaboration with internal partners and external vendors to deliver

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