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
As a Toxicology Lead, you will develop the safety assessment strategy of drug discovery and development projects from inception to regulatory submission. Working closely with the drug design platforms (small molecules and biologics), you will drive the optimisation of Iso’s assets with an AI-first approach in mind.
What they're looking for
- Design and implement safety assessment strategies with an AI-first approach to support small molecules and biologics drug discovery projects
- Design screening cascades and mechanistic experiments to support project progression in a data-driven manner
- Develop SAR understanding of toxicology main liabilities to optimise chemical and biological matter where needed
- Define regulatory safety assessment packages to support successful acceptance by regulatory agencies
- Author toxicology sections of regulatory documents
- Partner with Machine Learning colleagues to build the predictive toxicology aspects of the drug design platform and identify, generate and analyse data from which to develop and improve predictive toxicology models
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...
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