Biotechnology Jobs

Alloy Therapeutics UK Ltd · Cambridge · £45,000 – £50,000 pa

Design and build large-scale synthetic gene loci and transgenic platforms for antibody discovery, using CRISPR/Cas9, RMCE and site-specific integrases. Hands-on molecular biology including PCR, NGS, plasmid construction and flow-cytometric immunophenotyping, within a small multidisciplinary team working from dry-lab design to wet-lab validation.

CureAge Therapeutics · London

Lead the computationally guided design of a lipid nanoparticle delivery platform, applying chemical and biophysical principles to optimise LNP composition and formulation. Use AI-enabled chemistry, cheminformatics, predictive models and molecular modelling to prioritise formulation components, working closely with the experimental team and founding team in a small start-up.

Latent Labs · London

Customer-facing engineering role bridging frontier generative biology models and pharma/biotech clients. You own end-to-end deployments, building production-grade API integrations, data pipelines and model-serving infrastructure, often embedded on-site with partners, and feed customer insights back into product and research teams.

Latent Labs · London

Architect novel generative models to design functional proteins, working in an interdisciplinary team of ML researchers, protein engineers and biologists. Split roughly 90/10 between building and evaluating models against wet lab results and self-development, with heavy emphasis on data pipelines, cloud training and production-quality code.

EMBL-EBI · Saffron Walden · £3,452 pm

Designs and develops software and APIs for the UniProt protein data services and website, serving a global scientific community. Also handles design, maintenance and monitoring of the website's cloud infrastructure, with a focus on scalability, well-tested code and distributed big-data processing. Works in a dynamic interdisciplinary team of engineers and bioinformaticians alongside biologists.

Nuclera · Cambridge

Full-stack engineer building customer-facing cloud and instrument software plus internal tools supporting in-house protein screening services. Owns features end to end, from gathering requirements with biologists and stakeholders through technical design, implementation and testing across backend, frontend, dev-ops and QA.

EMBL-EBI · Saffron Walden

Develops FAIR infrastructure connecting proteomics evidence (XL-MS, CF-MS, AP-MS) with structural restraints, predicted structures and integrative models. Builds data models, APIs, conversion and validation tools with PRIDE and wwPDB, extending community standards for structural interactomics and linked deposition workflows.

UCL · London · £68,284 – £76,244 pa

Develops and leads an AI-driven research programme in biomolecular design and molecular interactions, spanning protein-ligand, protein-protein and protein-nucleic acid systems. Combines structural biology, biophysics, quantitative biology and machine learning, while teaching computational biology and biomolecular design at undergraduate and postgraduate level, including a new MRes in AI for Bioscience.

Roche · Welwyn

Builds physics-grounded machine learning models that combine quantum chemistry with ML to predict small-molecule energetics, conformation, reactivity, binding affinity and free energy. Works in a small-molecule team within AI for Drug Discovery, creating synthetic quantum-mechanics datasets and deployable pipelines that feed molecular-design tools across Roche, with a strong publication and open-source focus.

Roche · Basel, Switzerland

Build physics-grounded machine learning models that combine quantum chemistry with ML to predict small-molecule energetics, conformation, reactivity, binding affinity and free energy. Work in a small-molecule team within AI for Drug Discovery, creating synthetic QM datasets and deployable, scalable pipelines that feed molecular-design tools across Roche, alongside computational and experimental scientists.

Moderna · Oxford

Develops, validates and runs ligand-binding and cell-based bioanalytical assays generating pharmacodynamic and immunogenicity data for clinical mRNA programmes. Works in a GcLP-regulated lab using Thermo Watson LIMS and electronic notebooks, handling clinical samples, critical reagents, SOPs and validation reports while partnering with Clinical Operations and Sample Management.

Latent Labs · London

Architect novel generative models to design functional proteins, working in an interdisciplinary team of ML researchers, protein engineers and biologists. Split roughly 90% model building and 10% self-development, spanning data curation, evaluation metrics, prototyping, cloud training/inference and wet lab testing campaigns.

Latent Labs · London

Work at the interface between frontier generative models and pharmaceutical/biotech customers, deploying, adapting and fine-tuning models in customer environments. Build production-grade API integrations, model-serving infrastructure and ML data pipelines, while acting as technical point of contact for partners. Combines deep ML research with customer-facing delivery in an interdisciplinary team.