Head of Drug Discovery & AI-Driven Molecule Design

Relay-Therapeutics

Cambridge (MA)

On-site

USD 230,000 - 328,000

Full time

14 days+
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Job summary

Relay Therapeutics seeks an exceptional scientific leader to oversee Medicinal Chemistry, Computational Chemistry, Cheminformatics, and DMPK, driving transformative small molecule discovery.

The role builds a data-driven, collaborative discovery engine that tests hypotheses with experimental data and advanced computation, guiding programs from hit identification through IND with rapid, evidence-based decisions.

Qualifications

  • Ph.D. in Organic Chemistry or Computational Chemistry.
  • 15+ years of leadership responsibility in biotech/pharma drug discovery.
  • Proven track record leading multidisciplinary discovery organizations.
  • Advancing multiple small molecule programs from target ID to development candidate.
  • Deep understanding of medicinal chemistry, molecular design, ADME/DMPK.

Responsibilities

  • Lead and integrate Medicinal Chemistry, Computational Chemistry, Cheminformatics, and DMPK to build a collaborative discovery engine.
  • Define and execute strategies enabling rapid progression from target validation to development candidate nomination.
  • Champion hypothesis-driven discovery with predictive computational methods and medicinal chemistry.
  • Ensure molecular design decisions account for potency, ADME, safety, developability, and translational considerations.
  • Drive adoption of AI/ML, structure-based design, simulations, and high-throughput experimentation.

Skills

Leadership
Strategic planning
Data-driven decision making
Cross-functional collaboration
AI/ML-enabled design

Education

Ph.D. in Organic Chemistry or Computational Chemistry

Tools

Molecular modeling
Cheminformatics
Structure-based drug design

Job description

Relay Therapeutics seeks an exceptional scientific leader to oversee Medicinal Chemistry, Computational Chemistry, Cheminformatics, and DMPK, driving transformative small molecule discovery.

The role builds a data-driven, collaborative discovery engine that tests hypotheses with experimental data and advanced computation, guiding programs from hit identification through IND with rapid, evidence-based decisions.

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