Senior Research Investigator (In-vitro / Cellular Pharmacology), London

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.

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 an impactful in-vitro pharmacology sub team within our translational science team, working in multidisciplinary ML-based drug discovery medical research.

These roles would be ideal for experienced in-vitro pharmacologists with significant working knowledge of biophysical, biochemical and/or cell-based functional assays who have extensive experience of providing quantitative in-vitro pharmacology expertise within drug discovery projects.

This is an exciting opportunity to work closely with world leading AI, 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. You will play a key role in defining the 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.

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 beginners' approach.

• →Design efficient and comprehensive biological screening cascades for a variety of internal and partnered drug design programs.
• →Work with CROs to design decision-making experiments, and deliver the highest quality biological data to inform the path to the clinic.
• →Work cross-functionally with our Drug Design and Technology teams.

• BSc, MSc or PhD in a relevant field of biology.
• Extensive experience in the design and implementation of biological screening cascades applied to drug design projects from hit identification to Candidate Selection phases.
• Deep knowledge of experimental in-vitro pharmacology techniques including biophysical, biochemical and/or cellular assays.
• Experience working with CROs in acquiring and interpreting high quality biological data in a timely manner.
• Dynamic, agile, and flexible individual who can work across many projects, therapeutic areas, and multi-disciplinary teams.
• Effective communication across a broad interdisciplinary team, working with key stakeholders with different skills and backgrounds.

• Experience in project leadership or leading biology within drug discovery programs, ideally from inception to clinical candidate delivery.
• Worked with Data Science groups in setting up systems for ingestion of biological data.
• Track record of contributing to drug design projects which have then delivered Clinical Candidates.
• Working knowledge of designing and implementing assays and screening cascades for alternative modalities or alternative chemistries e.g peptides or molecular glues.
• General knowledge of machine learning modelling applied to biological systems and drug discovery.
• Experience of target identification, validation and selection approaches.

We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it. 

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