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.

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.

Your Impact
We are seeking a Senior Translational Oncologist to serve as a key scientific leader to develop and execute the complete translational strategy for our diverse oncology pipeline, spanning multiple therapeutic modalities. You will work in a deeply collaborative, interdisciplinary partnership with our Computational Biology, AI/ML, Drug Design and Clinical teams. In this vital role, you will also be expected to line manage a team of Biologists, driving projects from discovery through to early clinical development. Your primary objective is to define the path to the clinic, and build the biomarker and patient selection strategies that ensure we get the right drug to the right patient.

What you will do

• Translational Strategy: Design, lead, and execute comprehensive translational strategies for our oncology portfolio, establishing a clear line-of-sight from preclinical validation to clinical efficacy.
• Oncology Model Implementation: Ensure Isomorphic labs is choosing and accessing the most appropriate state-of-the-art in vivo and ex vivo cancer models (e.g. PDX, tumour organoids, syngeneic models, and complex co-cultures).
• Biomarker & PoC: Develop and implement robust biomarker and pharmacodynamic (PD) strategies, informed by in silico predictions, to secure early clinical proof-of-concept.
• AI/ML Partnership: Serve as the key oncology expert in a "computational-experimental" feedback loop, collaborating with Computational Biologists and ML Engineers to interpret in silico findings.
• Team Leadership & Development: Lead a small team of drug discovery scientists who are responsible for the biology strategy in oncology drug discovery projects.
• Regulatory Contribution: Author and provide expert contribution to the translational and biomarker sections of key internal documents and external regulatory filings (e.g. INDs).

Skills and qualifications
Essential:

• PhD in Oncology or Cancer Biology, or a related scientific discipline, or equivalent industrial experience.
• 10+ years’ professional experience in a pharmaceutical or biotech setting.
• Proven track record in translational science, pharmacology, and biomarker development within oncology.
• Deep, expert-level understanding of cancer biology, including oncogenic signaling pathways and the tumor microenvironment (TME).
• Demonstrable success in building comprehensive translational packages (e.g. PK/PD, efficacy, and biomarker strategies).
• Expert knowledge in developing and utilising innovative translational models (e.g. human ex vivo assays, complex in vivo models).
• Proven experience in a leadership role, specifically managing direct reports and leading biology or translational sub-teams.
• Exceptional communication skills, with a proven ability to "speak the language" of both computational scientists and discovery biologists.

Nice to have

• Understanding of (and enthusiasm for) how AI/ML models are used in drug discovery.
• Experience with diverse therapeutic modalities, including small molecules, biologics (ADCs, bispecifics), or novel modalities.
• Proven drug discovery project leadership from target selection through to candidate nomination.

Hybrid working
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).

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 or any other basis protected by applicable law.