DMPK Lead, London, Lausanne

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.

About Iso

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 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.

About the DMPK and Quantitative Pharmacology Team

The DMPK and Quantitative Pharmacology team, part of the Preclinical Development group, accelerates the delivery of high quality drug candidates by developing innovative and creative AI‑first solutions. By applying our domain expertise and through collaboration with the entirety of our world‑class drug discovery disciplines and ML researchers, we ensure that drug‑like properties are at the heart of our drug design engine. We shape the development of state‑of‑the‑art ADME and toxicology predictive models. We rethink drug discovery from Hit ID to first‑in‑human (FIH) trials by optimising the context of use of these models.

Your impact

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. As part of the Drug Design and Medical Research team and through close collaboration with the Technology teams, you will be supporting the business alongside world‑leading AI/ML Drug Design Platform teams. You will collaborate to deliver scientific expertise and strategic direction to drive both improvements in the Platform and apply this to real drug design projects. If you are a skilled and ambitious scientist looking to take the next step in your career, joining Isomorphic Labs will lift you out of your comfort zone and provide you with an amazing opportunity for personal growth and development.

What You Will Do

• Design and implement stage‑appropriate DMPK strategies with an 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.
• Maintain knowledge of state‑of‑the‑art technologies and methods to increase confidence in human PK prediction.
• Author DMPK sections of regulatory documents.
• Embrace and champion a culture of inclusion and continuous professional development.

Skills and Qualifications

Essential

• PhD in either Pharmaceutical Science, Pharmacy, Chemistry, or another relevant subject.
• 3+ years’ professional experience as a DMPK Lead, solving DMPK‑related problems in drug discovery with a track record of working collaboratively to deliver high quality candidates.
• Practical experience developing DMPK and quantitative pharmacology packages to support early clinical development, including authoring and reviewing regulatory documents, ideally in oncology or immunology.
• Experience of partnering closely with Preclinical and Clinical teams.
• In‑depth knowledge of biotransformation.
• In‑depth knowledge of PK modelling and scaling of ADME properties.

Nice to have

• Experience with biologics, peptides and other new modalities.
• Advanced knowledge of PKPD modelling.
• Good understanding of machine learning techniques.
• Familiarity with Python and KNIME.

Hybrid working

It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call.

Equal Employment Opportunity

We are committed to 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, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.