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.

Make your application after reading the following skill and qualification requirements for this position.

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. xwzovoh

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.