Develops generative protein design models that capture enzyme dynamics and function, designing conformationally dynamic catalysts. Runs computational and statistical analyses, publishes findings, and collaborates with in vivo evolution teams across the institute. Also mentors PhD students and research assistants and pursues translational and IP opportunities.
Postdoctoral researchers design and execute experiments within the Generative Biology Institute, working at the interface of biology, technology and engineering to make biology engineerable. The role involves contributing to high-impact publications and mentoring junior researchers and students, supported by technology hubs for sequencing, imaging, automation and substantial compute resources. Positions span multiple research groups at a new Oxford Science Park facility.
Leads global development of a cancer vaccine asset from late-stage transition through approval and launch, acting as single point of accountability and chairing a cross-functional matrix Medicine Development Team spanning clinical, translational, regulatory, manufacturing and commercial. Drives strategy, go/no-go decisions and lifecycle plans for novel vaccine platforms such as mRNA and neoantigen-based therapies.
Leads global development of a cancer vaccine asset from late-stage transition through approval and launch, acting as single point of accountability across major markets. Builds and directs a matrix Medicine Development Team spanning clinical development, immunology/biomarkers, manufacturing, regulatory, safety, medical affairs and commercial, and represents the asset to senior governance boards.
Integrate phenomics, transcriptomics, genomics and proteomics data to nominate novel targets and validate immunology and inflammation disease biology, piloting new methods for target discovery and early patient population hypotheses. Partner cross-functionally with biologists, chemists, data scientists and engineers to build data packages that drive program milestones and investment decisions.
Integrates phenomics, transcriptomics, genomics and proteomics data to nominate and validate oncology targets and define precision oncology patient strategies. Partners cross-functionally with biologists, chemists, engineers and translational experts to build target data packages and pilot novel discovery methods, including agentic target packages and mechanism-of-action work.
Perform plant transformation and regeneration workflows, optimising tissue culture protocols across crops and genotypes while troubleshooting regeneration failures and contamination. Track transformation efficiency, mentor junior technicians, and maintain rigorous documentation standards. Work closely with Transformation Scientists in a fast-moving, interdisciplinary plant science institute.
Develops AI and machine learning systems for synthetic biology, genome design and molecular evolution, with a focus on genome-scale metabolic modelling. Works in a Technology Hub ML engineering team alongside wet-lab scientists, bioinformatics and scientific compute groups, building reproducible training pipelines and MLOps for biological design and discovery.
Leads vector design strategy for gene edited and transgenic crop programmes, covering expression cassette architecture, guide RNA modules, donor templates and multiplex editing configurations. Owns the design-to-vector-release process, including construct QC, sequence management, vendor workflows and handover packages for transformation teams. Builds an industrial-grade vector design capability for corn, wheat and other strategic species, with SOPs, LIMS/ELN tracking and mentoring of scientists.
Leads the end-to-end event delivery workflow for gene edited and transgenic crops, from transformation output through sampling, molecular confirmation, QC review and handover. Designs and validates genotyping assays (PCR, qPCR, ddPCR, KASP, NGS) and builds stage-gate criteria, LIMS-enabled tracking and vendor strategies across corn and wheat programmes.
Conducts class-targeted metabolomics and metabolic engineering of plant natural products, using extraction, purification, mass spectrometry and computational structural assignment to support cell-based production of food and medicines. Works in a highly collaborative institute alongside AI and robotics teams on high-throughput analytical procedures, with stage-gated milestones and an active role in IP generation.
Lead metabolic engineering and synthetic biology work to manipulate plant respiration, energy status and redox balance, first in cell cultures then in whole plants. Use iterative design-build-test-learn cycles with physiological, imaging and multi-omics phenotyping, contributing to IP and commercial translation within a multidisciplinary institute.
Postdoctoral role in the joint Monera project, building multi-modal generative models of whole organisms starting with E. coli. You will perform high-throughput genome engineering to generate diverse microbial strains and design scalable measurement strategies, working in an integrated computational and experimental team alongside AI scientists.
Develops and implements bioinformatics algorithms for genomic and transcriptomic analysis, applying machine learning to predict complex traits and phenotypes from large-scale plant datasets. Works within a bioinformatics platform team, collaborating with engineers and research scientists to integrate algorithms into production pipelines and translate research questions into analytical milestones.
Develops and scales experimental platforms to test engineered protein variants for photosynthetic efficiency, photoprotection and carbon assimilation. Combines transient plant expression, molecular biology and high-throughput photosynthetic phenotyping, working with computational scientists and protein engineers to inform go/no-go decisions for crop transformation.
