Vice President of AI Drug Discovery

Job Title

Vice President, AI & Genomics Platforms for Drug Discovery

Oxford, UK

Full-time

We are a cutting‑edge biotechnology company in Oxford, transforming drug discovery by integrating AI and genomics. Our mission is to leverage genomic and multi‑omics data to identify novel therapeutic targets, accelerate lead discovery, and develop precision medicines that improve patient outcomes.

We are seeking a visionary Vice President of AI & Genomics Platforms for Drug Discovery to lead and define our computational genomics strategy. This is a senior leadership role, responsible for driving AI‑enabled target discovery, multi‑omics integration, and platform innovation to accelerate our drug discovery pipeline. You will lead a high‑performing multidisciplinary team and influence the company’s scientific direction at the executive level.

• Lead and scale a team of computational biologists, data scientists, software engineers, and genomics specialists focused on drug discovery.
• Define and execute the company’s AI‑genomics strategy across target discovery, biomarker development, and therapeutic hypothesis generation.
• Build and maintain scalable computational platforms that integrate multi‑omics, clinical, and experimental datasets to inform drug discovery decisions.
• Collaborate closely with discovery, translational, and preclinical teams to ensure computational insights translate into actionable experimental programs.
• Drive innovation by evaluating emerging AI, genomics, and multi‑omics technologies for application in drug discovery.
• Serve as a key member of the executive leadership team, contributing to company strategy, partnerships, and scientific vision.
• Represent the company at conferences, scientific collaborations, and investor or partner meetings.

• PhD (or equivalent) in Genomics, Computational Biology, Bioinformatics, AI/ML, or related field.
• Extensive experience applying AI/ML to genomics in a drug discovery context.
• Proven track record leading interdisciplinary teams in biotech or pharmaceutical environments.
• Strong expertise in multi‑omics data integration, predictive modelling, and computational platform development.
• Executive‑level leadership skills, with experience influencing company strategy and R&D decisions.
• Excellent communication and collaboration skills, able to bridge computational, experimental, and business stakeholders.

• Lead transformative AI‑genomics initiatives that directly impact the discovery of novel therapeutics.
• Shape the company’s scientific strategy as a member of the executive leadership team.
• Work in Oxford, a globally recognized hub for life sciences innovation.
• Competitive executive compensation, equity options, and the opportunity to make a high‑impact scientific contribution.