Senior Computational Biologist | AI-Driven Platform

A pioneering clinical research company - recognised as one of the world's most innovative microbiome businesses - is hiring a Senior Computational Biologist with ML Engineering experience to help build something genuinely exciting.

They operate an end-to-end multi-omics platform for skin, scalp, intimate and oral health, working with world-class clients across dermocosmetics, pharma therapeutics, and ingredient manufacturing. Now they're building the AI layer on top of it - a next-generation discovery platform designed to translate their biological datasets into novel functional actives and intelligent ingredient systems.

The Role

You'll own key parts of the end-to-end architecture - from raw data ingestion through to model deployment - working closely with ML and software engineers to ship a platform that's genuinely client-ready. It's a senior role with real technical ownership and the autonomy to match.

What You'll Be Doing

• Building discovery models that identify novel functional actives from multi-omic datasets, mapping biological signals to clinical outcomes
• Developing predictive models for molecule-microbe interactions, pathway effects, and clinical response forecasting
• Implementing multi-objective optimisation frameworks balancing efficacy, safety, manufacturability, and regulatory feasibility
• Productionising the ML pipeline end-to-end - ingestion, training, evaluation, deployment, monitoring, and governance
• Collaborating across biology, formulation, clinical, and commercial teams to shape outputs that are genuinely usable

What They're Looking For

• Strong Python and a proven track record building ML systems end-to-end (shipped projects, tools, or repos - not just research)
• Hands-on experience with large, messy, real-world datasets and leakage-safe validation strategies
• Solid grounding in ML evaluation, failure modes, and iteration planning
• Experience with PyTorch, TensorFlow, or JAX
• Clear communication across both technical and scientific audiences

Strongly preferred: experience with biological or high-dimensional datasets (omics, microbiome, clinical), multi-modal learning, and/or biological foundation models.

Cambridge (flexible, can do one day per week, month etc)

75K (flex for the right person)

Visa sponsorship is not available - please only apply if you have full UK working rights.