Research Leader​/Senior Scientist; In vitro​/Cellular Pharmacology 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 In vitro and Cellular Pharmacology sub-team, within our Translational Sciences team, which specialises in small molecules. We’re hiring at the Research Leader and Senior Scientist levels, and you can apply for either position using the application form below.

These roles are ideal for experienced in vitro pharmacologists with significant working knowledge of biophysical, biochemical and/or cell-based functional assays, and extensive experience of providing quantitative in vitro pharmacology expertise within drug discovery projects. You will be responsible for defining in vitro strategies and screening cascades for our drug design projects, advancing our oncology, immunology and partnership portfolios from early drug discovery through to candidate selection, and ultimately to clinical phase work.

These are exciting opportunities 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 to drive our projects forward. By overseeing externalized CRO activities, you will close the loop between computational biological insights and real-world laboratory validation. You will have experience of working broadly across drug discovery projects, with the ability to think originally and critically, knowing when to apply innovative ideas, and think with a fresh approach.

If you are a skilled In vitro / Cellular Pharmacologist with a passion for applying cutting‑edge technology to complex scientific challenges, this role offers an unparalleled opportunity for impact and growth.

As part of this hiring, some roles will have people management responsibilities for building teams of 2-3 In vitro / Cellular Pharmacologists. In this case, you will be responsible for line managing and mentoring a talented and high‑performing team, encouraging their scientific growth and career development. You’ll champion our cross-disciplinary approach, fostering a supportive team culture where continuous learning and the adoption of next‑generation tools are the standard, not the exception.

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