37 jobs for “Protein Engineer”
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.
Evotec Macclesfield
Lead the design, engineering, expression, purification and characterisation of complex biologic therapeutics including monoclonal, bispecific and multispecific antibodies. Acts as biologics scientific lead on client-facing drug discovery programmes, mentoring junior scientists and shaping project strategy within a multidisciplinary Protein Sciences team.
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.
Ellison Institute of Technology Oxford £40,000 pa
Postdoctoral role in the Liu Lab for Synthetic Evolution, designing and troubleshooting experiments, analysing complex data with computational and statistical tools, and publishing high-quality research. The lab invented OrthoRep for continuous accelerated gene evolution, with projects spanning antibody sequence-affinity datasets, enzyme sequence-function maps, and de novo gene function emergence. Involves mentoring junior researchers and collaborating across multidisciplinary teams.
Ellison Institute of Technology Oxford
Develops and optimises high-throughput enzyme assays to characterise plant protein variants from AI-assisted design and evolutionary discovery. Works with computational scientists, automation engineers and roboticists to build scalable protein expression, purification and biochemical characterisation pipelines, informing protein engineering and crop yield decisions.
ISR Recruitment Oxford £520 – £532 pd
Lead a laboratory-based immunology team, designing in vitro pharmacology assays and coordinating in vivo efficacy studies with CROs to advance biologic therapies for autoimmune diseases. Involves target identification, ex vivo profiling, and cross-functional work with protein engineering, biomarkers and translational medicine, plus IND documentation and publications.
Evotec Abingdon
Owns Evotec's in silico therapeutics design capability, uniting computational chemistry, generative and modality design (small molecules, peptides, protein engineering, degraders, molecular glues) and predictive ADMET/safety under one mandate. A newly created unit within the In Silico & AI group with an explicit build mandate: set technical vision, grow a multi-site team, and industrialise repeatable, benchmarked methods across partner programmes.
University of East Anglia Norwich £21,805 pa
A four-year PhD project using engineering biology to develop bacterial and human ferritin nanocages for encapsulating small molecules, peptides and proteins, with applications in biocatalysis and therapeutics. The work spans protein purification, bioanalytical methods, spectroscopy, mass spectrometry and microscopy, targeting enzymes such as hydrogenase and targeted molecular delivery. Based in the Le Brun lab at UEA's School of Chemistry, Pharmacy and Pharmacology.
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.
University of Exeter Exeter £21,805 pa
An interdisciplinary PhD studentship combining computational genomics at Exeter with stem-cell biology and CRISPR editing at Cambridge. The student will analyse whole-genome sequencing data from large multi-ancestry cohorts, integrate genetic signals with epigenetic maps and AI tools like AlphaGenome, and build iPSC-derived visceral and subcutaneous adipocyte models to functionally test prioritised regulatory variants.
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.
