Biotechnology Jobs in Oxford

• Oxford
• On-site
• Permanent

Hands-on mechanical design and integration role building robotic systems that automate scientific work in laboratories. You will work across electrical systems, software and control, managing subsystem dependencies and verifying performance at system level from concept through commissioning and operational use.

• Oxford
• On-site
• Permanent

Builds computational tools and data analysis pipelines for plant biology, working at the intersection of multi-omic analysis and software development. Integrates transcriptomics, metabolomics, proteomics and imaging data, developing pipelines for image segmentation, feature extraction and phenotyping, and preparing datasets for agentic workflows. Collaborates closely with bioinformaticians, research scientists and AI engineers in the Bioinformatics platform team.

• Oxford
• On-site
• £39,424 – £47,779 pa
• Entry level
• Contract

Develops cutting-edge machine learning and computer vision methods to analyse multi-omic and imaging data, identifying disease phenotypes and tissue architecture changes. Works with software engineers and data platform developers to translate research prototypes into robust, reproducible tools, bridging research and implementation.

• Oxford
• Hybrid · 3–4 days in office
• Senior
• Permanent

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.

Thermo Watson LIMS · Watson LIMS · LabVantage eLBN +1

• Oxford
• On-site
• Mid-level
• Temporary

Hands-on individual contributor role operating production equipment for mRNA vaccine manufacturing at the Harwell site, following cGMP, SOPs and safety requirements. Involves troubleshooting equipment and digital issues, basic maintenance, documentation with Quality Assurance, and RCA/CAPA investigations, with exposure to continuous improvement and Generative AI tools.

Generative AI

• Oxford
• On-site
• £40,178 – £48,700 pa
• Entry level
• Contract

Join a Gates Foundation-funded programme developing nanopore-based sensing platforms to detect volatile organic compounds in biological samples, part of the multidisciplinary Decoding Olfaction collaboration. The role combines chemical biology and biophysics to advance single-molecule sensing, with the goal of enabling personalised and continuous health monitoring. Multiple fixed-term postdoc positions are available in a collaborative academic and industrial environment.

• Abingdon
• Lead
• Permanent

Acts as the single front door between Evotec's Drug Discovery Platforms and the global In Silico & AI organisation, owning demand, relationships and the in silico roadmap. Translates platform science needs across DMPK, ADME/Tox, predictive safety, screening and omics into prioritised AI requirements, then orchestrates delivery across capability units. Carries a commercial mandate, contributing to client proposals, pricing and evidencing value such as margin uplift and cycle time.

• Abingdon
• On-site
• Permanent

Carry out planned preventative maintenance and fault-finding across production, utilities, laboratory and office assets, including AHUs, pumps, boilers, LV electrical systems and fume cupboards. Manage external contractors for specialist plant such as BMS, fire alarms and chillers, with occasional weekend work and an on-call rota of about one week per month.

BMS · UPS · PAT +7

• Oxford
• On-site
• Senior
• Permanent

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.

• Oxford
• On-site
• Senior
• Permanent

Lead the development and optimisation of molecular biology workflows—nucleic acid extraction, purification, library preparation and sample processing—for integration into a fluidic, cartridge-based diagnostic device. Work at the intersection of biology, chemistry and engineering, using Design of Experiments and quantitative methods to reduce technical risk and guide the platform from proof-of-concept to prototype.

Whole Genome Sequencing · Oracle Cloud

• Oxford
• Hybrid
• Senior
• Permanent

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.

• Oxford
• On-site
• Lead
• Permanent

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.

ELN · LIMS

• Oxford
• On-site
• Mid-level · manages people
• Permanent

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.

Endpoint PCR · qPCR · ddPCR +6

• Oxford
• Hybrid
• Senior
• Permanent

Builds robust, scalable services such as APIs, CLI tools and software modules for scientific applications, integrating ML inference servers, hardware interfaces and data pipelines. Owns the full production path from architecture and coding to automated testing, benchmarking, deployment and observability, working within a multi-disciplinary team of data engineers, AI scientists and domain experts.

• Oxford
• Hybrid
• Senior

Builds and operates a cloud platform for scientific computing, including full-sized GPU clusters, resilient compute, network and storage. Implements auditable CI/CD and GitOps pipelines, Policy-as-Code governance with Kyverno, and foundational monitoring, alerting and SLOs. Partners with research and data teams to deliver self-service capabilities for workloads from Python notebooks to distributed clusters.

Kyverno · YAML