Head of Computational Drug Design
BioTalent are partnered with an AI-driven biotech focused on improving how advanced therapies are designed and delivered.
This is a Head of Computational Drug Design role, sitting at the centre of drug discovery programmes across protein engineering, genomics, and AI-driven design.
The company has already built a strong platform and secured funding to scale. They are now looking for someone to take ownership of how computational drug design is applied across programmes and help shape the next phase of growth.
This is not a support function. This role will define strategy, influence programme direction, and build out the computational capability across the organisation.
The Role
You will lead computational drug design across multiple programmes, working closely with biology, genomics, and data science teams.
You will:
- Define computational strategy across drug discovery
- Drive molecular modelling, structural bioinformatics, and AI-enabled design
- Build and scale internal computational workflows and pipelines
- Lead and develop a team of computational scientists
- Partner with internal and external teams to progress programmes
Who This Suits
This role suits someone who has moved beyond individual contribution and is already leading or shaping computational strategy.
Typical backgrounds include:
- Principal Scientists or Group Leaders in computational chemistry or biology
- Scientists with strong experience in molecular modelling and structural biology
- Individuals who have worked across multidisciplinary drug discovery teams
You will likely have experience with tools such as Schrödinger, MOE, Rosetta, PyMOL, and exposure to AI or machine learning approaches.
Why Move
- You will have ownership over how computational drug design is done within the company.
- This is a chance to move into a role where your decisions directly shape programmes, rather than supporting them.
- You will also be working in a smaller, growing company where your impact is visible and immediate.