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.
”, “datePosted”: “2026-05-02”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Cubiq Recruitment”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__420281495__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=126” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “Cambridge” } } }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.
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