Senior Scientist (In vivo Pharmacology & Translational Sciences MA

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 (Iso Labs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning Alpha Fold 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 capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases.

We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design.

Every day, and with each new breakthrough, we're getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.

Isomorphic labs are seeking exceptional individuals to join a highly impactful Translational Biology sub-team, within our Translational Sciences team. This role is ideal for an experienced translational biologist with a skill for designing fit-for-purpose screening cascades to provide robust experimental evidence that our ML-designed medicines will have the desired therapeutic product profiles (TPPs).

This is an exciting opportunity to work closely with world leading ML and drug discovery experts to develop imaginative new ways to test biological hypotheses, building a deep mechanistic understanding of drug target interactions in disease to drive our projects forward. You will be responsible for establishing and implementing translational strategies, advancing our oncology, immunology and partnership portfolios from early drug discovery through to candidate selection and ultimately to clinical phase work.

You will serve as a vital link between computational biology and experimental validation, driving progress within a fully externalized model supported by CRO partnerships. You will have experience of working broadly across drug discovery projects and have the ability to think originally and critically, knowing when to apply innovative ideas, and think with a fresh approach.

• Oversee the comprehensive planning, methodology development, fiscal management, and implementation of target-specific in vivo pharmacology, PK/PD, and safety assessments throughout our project portfolios.
• Design robust translation strategies explicitly geared toward clinical translation, leveraging datasets and biomarkers to inform patient selection frameworks.
• Play a critical role in defining the most appropriate model paradigm (in vivo, ex vivo patient-derived tissue etc) for each project’s translational package, including developing a biomarker strategy to deliver early clinical proof of concept.
• Work with CROs to design decision-making experiments, and deliver the highest quality biological data to inform the path to the clinic.
• Provide scientific expertise to the ML and computational biology teams, to support the development of world-leading models of biological systems.
• Distill biological data into useful insights and…