Biotechnology Jobs

• United Kingdom
• Remote

Field-based role maintaining Roche diagnostic systems across molecular, tissue and serum work areas, using on-site support and remote diagnostics to resolve complex electro-mechanical faults. Duties include preventive maintenance, reporting, customer technical training and regulatory documentation, working within a UK customer-centric field support team.

Roche Diagnostics Systems

• London
• Director · manages people
• Permanent

Lead the team behind hybrid on-prem and cloud compute infrastructure, Kubernetes clusters, and scientific compute environments supporting ML and drug discovery. Own platform strategy, CI/CD maturity, observability, and security controls for sensitive patient-derived data, reporting to the VP of Engineering.

Kubernetes · Kubeflow · GPU Compute +3

• London
• On-site
• Entry level
• Permanent

Contributes to the design and execution of cellular and biochemical assays, including arrayed CRISPR perturbation screens in established cell models, and maintains primary and immortalised mammalian cell lines with sample tracking and QC. Runs phenotypic readouts such as flow cytometry, RT-qPCR and ELISA, performs data analysis and quality assurance, and reports outcomes to cross-functional project teams. Based in London wet labs within a matrixed TechBio environment.

CRISPR · Flow Cytometry · RT-qPCR +3

• Oxford
• On-site
• Lead
• Permanent

Lead the design and deployment of AI, robotics and computer vision systems to accelerate plant transformation and tissue culture workflows. Provide plant science subject matter expertise within a matrixed team, build data pipelines for predictive ML models, and manage project plans while mentoring researchers and driving commercial translation.

• 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.

• Newcastle upon Tyne
• £21,805 pa
• Entry level
• Contract

Investigates the molecular mechanisms of liver dysfunction in childhood POLG-related mitochondrial disease, focusing on Alpers-Huttenlocher syndrome. Uses quantitative untargeted proteomics and immunohistochemistry on donated post-mortem liver tissue, and generates hepatic organoids from patient-derived iPSCs for disease modelling and therapeutic screening. Based in the Newcastle Mitochondrial Research Group with a placement at the University of St Andrews.

iPSCs

• Harrogate
• Entry level

Trainee role performing routine macroscopic necropsy techniques, trimming and retaining organs across a wide range of species. Involves animal handling and euthanasia, precise sample labelling, data recording and reagent preparation, with training provided and some out-of-hours and weekend cover expected once trained.

• Harrogate
• On-site
• Entry level

Trainee role in a purpose-built histology lab, trimming and processing animal tissue samples, performing microtomy, staining and microscopic quality control under Good Laboratory Practice. Full training is provided, with cross-training in necropsy and work in a fast-paced, production-intensive environment.

Automated Tissue Processors · Motorised Microtomes

• Exeter
• Entry level
• Contract

A cross-institutional PhD studentship analysing whole genome sequencing data from millions of individuals across UK Biobank, All of Us and Our Future Health to identify rare causal variants for musculoskeletal disorders, then functionally validating them in human cell and tissue models using CRISPR-Cas9, transcriptomics and cellular phenotyping. Split between computational genomics at Exeter and laboratory work at Oxford, it develops a dual skill set in statistical genetics and experimental validation.

UK Biobank · All of Us · Our Future Health +4

• Oxford
• On-site
• £35,681 – £37,388 pa
• Entry level
• Contract

Conducts molecular virology research on virus-host cell interactions, focusing on cellular oxygen sensing and viral replication, under Dr Peter Wing. Involves viral culture at containment levels 2 and 3, CRISPR/siRNA screens, live-cell imaging, and lab management. Fixed-term, full-time post funded by ARIA.

R · Python · FIJI +7

• London
• £47,500 pa
• Entry level
• Contract

Lead a computational project studying how driver mutation clones interact with their microenvironment in chronic liver disease and liver cancer. Develop graph neural networks, transformers and generative AI methods on large-scale spatial genomics, single-cell and imaging data, embedded across the Crick and Wellcome Sanger Institute with joint supervision.

PyTorch · JAX · NumPy +2

• Abingdon
• Lead
• Permanent

Acts as the single front door between Global Biology Operations and the In Silico & AI organisation, owning demand, the in silico roadmap and delivery orchestration across computational biology, bioinformatics and AI teams. Focuses on Disease-to-Target and applying the proprietary E.MPD multi-omics resource to target identification, validation and patient stratification, while evidencing value and supporting client proposals.

E.MPD · AI · MLOps

• Abingdon
• Director · manages people
• Permanent

Leads Evotec's consolidated AI Accelerator, owning machine learning, generative and agentic AI, and therapeutic hypothesis groups. Sets the AI vision and roadmap, makes build/buy/partner decisions for the AI stack, and turns proprietary multi-omics and experimental data into predictive models and reusable IP. Acts as the senior external technical voice for AI in drug discovery.

• Saffron Walden
• Hybrid
• £38,570 – £49,893 pa
• Senior
• Contract

Develop and apply statistical and deep learning methods to cell-free DNA from pregnant women, calling fetal and maternal genotypes from high-coverage sequence data and building methylation-aware biomarkers for pregnancy complications. Work spans methods development, large cohort application and collaboration with international partners in a statistical genomics group.

Python · R · Unix +6

• London
• Hybrid
• Entry level
• Permanent

Early-career scientist role in a Life Sciences team, generating therapeutic hypotheses by mining in-house genomic data with statistical methods to identify and triage drug targets. Also develops and optimises polygenic risk score tools for patient stratification, working with omic data using statistical and AI/ML approaches and communicating findings to internal and external stakeholders.

Git · GitHub · WDL +4