Scientist II, Cheminformatics

Relay TherapeuticsCambridge, MA
Hybrid

About The Position

Relay Therapeutics is seeking a highly motivated Scientist to join our Drug Discovery team in a unique hybrid role that integrates synthetic chemistry with cheminformatics. This position is ideal for a scientist who enjoys working at the interface of experimental and computational disciplines and is excited to help shape how data-driven chemistry is done in a modern biotech environment.

Requirements

  • Ph.D. or M.S. in Organic Chemistry or a related field, with 2–5 years of relevant industry experience preferred
  • Demonstrated experience in synthetic organic chemistry
  • Familiarity with cheminformatics tools and concepts (e.g., molecular representations, library design, property prediction)
  • Experience with scripting or data analysis tools (e.g., Python, RDKit)
  • Strong problem-solving skills and the ability to work both independently and collaboratively
  • Excellent communication skills and a desire to work in a highly cross-functional environment

Nice To Haves

  • A scientist who enjoys bridging “hands-on” chemistry with computational thinking
  • Someone comfortable working in a fast-paced, evolving biotech setting
  • A candidate who is curious, adaptable, and interested in shaping new ways of integrating chemistry and data science

Responsibilities

  • Maintain and support tools used in compound registration, lab operations and data ingestion from assays, as well as broader data and software access workflows
  • Design and execute synthetic chemistry workflows, with a focus on high-throughput or parallel synthesis to support medicinal chemistry programs
  • Contribute to the design, enumeration, and prioritization of compound libraries using cheminformatics tools
  • Collaborate closely with computational chemists, data scientists, and medicinal chemists to guide compound design using data-driven insights
  • Analyze and interpret experimental data to inform structure–activity relationships (SAR) and compound optimization
  • Help develop and refine internal workflows that integrate synthetic chemistry with computational approaches
  • Maintain clear documentation and communicate results effectively across multidisciplinary teams
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