Team Leader, Chemistry; Peptides), London

Team Leader, Chemistry (Peptides), London, Lausanne

Lausanne;
London

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.

Join our expanding Exploratory Sciences team, focused on tackling proteins which are critical for disease biology, but have been traditionally considered intractable. We are a small, multi-disciplinary team within the Drug Design and Medical Research function at Isomorphic Labs. We work at the interface of machine learning, chemical biology and drug discovery to apply our platform to some of the toughest problems in drug discovery, and we collaborate closely with multiple teams across Isomorphic Labs.

We have a strong growth mindset and prioritise continued development and learning as we hope to build the next generation of drug discovery scientists.

We are expanding and investing in our multi-disciplinary Peptides team within Exploratory Sciences, looking to recruit a number of talented scientists to drive projects towards the clinic. This role is for a Team Leader, Chemistry, specialising in peptides.

As a member of the Peptides team, you will deliver the development and application of a state-of-the-art peptide design platform. This will involve applying our platform in novel ways, and critically driving portfolio projects towards the clinic. You will need to design and execute on bold strategies to tackle problems that are currently considered impossible. Working alongside world leading AI/ML and Drug Design Platform teams, you will deliver scientific expertise and strategic direction to drive both improvements in the Platform and help to solve unsolved drug design problems.

Ready to elevate your scientific career? Isomorphic Labs offers a unique environment to tackle stimulating challenges, pushing your boundaries and accelerating your personal and professional growth. If you are a skilled and ambitious scientist looking to take the next step in your career, joining Isomorphic Labs will challenge you with novel problems and provide an amazing opportunity for professional growth and development.

• Apply your knowledge of cutting-edge peptide design and synthesis to compose novel approaches to long standing challenges in drug discovery.
• Utilise internal AI/ML models to solve challenging drug discovery…