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Research Leader (DMPK), Cambridge, MA

Isomorphic Labs · Cambridge, MA · On-site

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About Isomorphic Labs

Isomorphic Labs is building a future where frontier AI can help to unlock deeper scientific insights, faster breakthroughs, and life-changing medicines. Backed by GV.

About the role

At Isomorphic Labs, DMPK Leads drive the DMPK strategy of drug discovery projects to deliver high quality clinical candidates whilst using and contributing to the optimisation of state-of-the-art computational and AI ADME models.

What they're looking for

  • Design and implement stage-appropriate DMPK strategies with AI-first approach, integrating quantitative pharmacology and overall project strategies
  • Design screening cascade and mechanistic experiments to support project progression in a data-driven manner
  • Integrate DMPK, PD and toxicological data to extract decision-making information, including dose and safety window predictions
  • Define Quantitative Pharmacology strategy in collaboration with Pharmacology Leads
  • Optimise the use of Iso’s datasets to address fundamental DMPK questions and advance the field
  • Optimise molecule design based on physico-chemistry and biotransformation knowledge in collaboration with Chemistry Leads
More about this 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.

The future is coming. 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.

Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture.

The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you.

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.

Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful...

Read the full posting on Isomorphic Labs's site ↗

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