Director, Data Science & Biomarkers (Healthcare AI)

London HQ - Mostly onsite 1-2 days WFH if required

£130,000 to £170,000 base + meaningful equity

My client is a well-funded, early-stage precision health company building a deeply technical AI platform at the intersection of biomarkers, healthcare data and machine learning.

They are now looking to appoint a Director, Data Science & Biomarkers as a founding-level hire. This individual will be the senior technical owner for applied data science and machine learning, with responsibility for taking core scientific ideas and turning them into scalable, production-grade systems.

This is a hands-on role first and foremost. The business needs someone who is comfortable coding, architecting and unblocking work in the early phase, while also setting technical direction and standards as the team grows.

The role

This position sits at the centre of product, clinical and engineering leadership. You will own the end-to-end data and ML stack for biomarkers and healthcare, from modelling and experimentation through to deployment in real-world products.

Roughly 60% of the role is applied data science and ML, focused on biomarker modelling, healthcare data and experimentation. The remaining 40% is ML engineering, backend development and architecture, ensuring models are productionised, scalable and robust.

Architectural ownership is key. This is not a pure research role.

What they’re looking for

• A strong applied background in data science and machine learning, ideally within healthcare, biomarkers, biomedical data, wearables or adjacent domains
• PhD-level depth preferred, with a track record of shipping work beyond academia
• Proven experience taking ML models into real products or clinical workflows
• Deep hands-on capability in Python and the modern data science stack, including PyTorch
• Experience designing and owning end-to-end ML systems, including training and inference pipelines
• Comfortable working in ambiguity and building from first principles in an early-stage environment

What you’ll be doing

• Own and evolve the company’s core biomarker and healthcare ML systems
• Drive applied modelling, experimentation and validation using healthcare data
• Architect and implement scalable training and inference pipelines
• Work closely with product and clinical stakeholders to translate science into outcomes
• Remain hands-on initially, while gradually shaping team structure and technical direction

This role would suit someone who wants to stay close to the science and the code, but who also has the ambition to build something foundational. It’s an opportunity to take ownership of a critical technical pillar in a business aiming to define a new category in precision health.

For an informal discussion, apply with your CV.