Isomorphic Labs

Isomorphic Labs

Head of Computational Drug Design, Cambridge, MA

Cambridge, MA

Sponsorship not specifiedDetected 28 days ago
PythonMachine LearningDeep LearningLLMsResearchLeadershipCollaborationAdaptability

About the role

  • Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease.
  • A future enabled and enriched by the incredible power of machine learning.
  • A future in which diseases are curtailed or cured starting with better and faster drug discovery.

Responsibilities

  • Apply your knowledge and track record of modern drug design and discovery principles to deliver our Drug Design portfolio.
  • Provide direct line management for a growing team of Computational Chemists. Set clear goals, provide regular feedback, support their professional development, and foster a collaborative and high-performance team environment.
  • Collaborate both internally and with third party organisations, interacting within multidisciplinary teams, to support data-driven delivery of high quality scientific solutions to complex technical problems.
  • Prepare detailed scientific proposals and reports to support new and ongoing programs.
  • Prior experience of leading drug discovery programs, from hit finding to lead optimisation and candidate selection.
  • Strong expertise in virtual screening, ligand and structure-based drug design using physics-based and ideally AI/ML methods.
  • This role requires a unique blend of deep scientific expertise and the ability to lead both technical projects and high-performing teams, whilst contributing to or leading active drug discovery programs.
  • You will provide scientific leadership and strategic direction for the Computational Drug Design team, responsible for delivery and guidance of projects to clinical candidate nomination.
  • You will partner with our Head of Chemistry, Drug Design to champion the drug discovery pipeline, overseeing external collaborations (with CROs) and lead programs to deliver critical go/no-go milestones.
  • Critical to this role will be the ability to build highly effective and efficient connectivity with Medicinal Chemistry, Biology and Pre-Clinical Development teams to accelerate pace to the clinic.

Nice to have

  • Knowledge of modalities such as PROTACs, molecular glues, PPI inhibitors or ADCs.
  • A track record of authorship of relevant scientific manuscripts.
  • Culture and values
  • It's not about finding people who think and act in the same way.
  • These values help to guide our work and will continue to strengthen it.
  • Thoughtful at Iso is about curiosity, creativity and care.
  • It is about good people doing good, rigorous and future-making science every single day.
  • Brave at Iso is about fearlessness, but it's also about initiative and integrity.

Benefits

  • Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system.
  • Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed.
  • We are building a dynamic team of Computational Chemists in Cambridge, MA within the Drug Design and Medical Research function.
  • We foster a supportive, learning-focused environment where every member is valued, and continuous professional development is a priority.

Company info

  • Embrace and champion our culture of inclusion and continuous professional development.
  • As part of our expansion to Cambridge, MA, we are seeking an experienced and strategic Head of Computational Drug Design to join our foundational Drug Design team.

Visa & Work Authorization

  • equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pre

This listing is sourced directly from Isomorphic Labs's careers page and normalized into a canonical job model.