Senior Computational Biologist | AI-Driven Platform

<p>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.</p><p><br><br>Make your application after reading the following skill and qualification requirements for this position.<br></p><p>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.</p><p><br></p><p><strong>The Role</strong></p><p>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.</p><p><br></p><p><strong>What You'll Be Doing</strong></p><ul><li>Building discovery models that identify novel functional actives from multi-omic datasets, mapping biological signals to clinical outcomes</li><li>Developing predictive models for molecule-microbe interactions, pathway effects, and clinical response forecasting</li><li>Implementing multi-objective optimisation frameworks balancing efficacy, safety, manufacturability, and regulatory feasibility</li><li>Productionising the ML pipeline end-to-end - ingestion, training, evaluation, deployment, monitoring, and governance</li><li>Collaborating across biology, formulation, clinical, and commercial teams to shape outputs that are genuinely usable</li></ul><p><br></p><p><strong>What They're Looking For</strong></p><ul><li>Strong Python and a proven track record building ML systems end-to-end (shipped projects, tools, or repos - not just research)</li><li>Hands-on experience with large, messy, real-world datasets and leakage-safe validation strategies</li><li>Solid grounding in ML evaluation, failure modes, and iteration planning</li><li>Experience with PyTorch, TensorFlow, or JAX</li><li>Clear communication across both technical and scientific audiences</li></ul><p><br></p><p>Strongly preferred: experience with biological or high-dimensional datasets (omics, microbiome, clinical), multi-modal learning, and/or biological foundation models. xwzovoh </p><p><br></p><p> Cambridge (flexible, can do one day per week, month etc)</p><p> 75K (flex for the right person)</p><p><br></p><p>Visa sponsorship is not available - please only apply if you have full UK working rights.</p>