Biotechnology Jobs

• London
• Hybrid · 3 days in office
• Mid-level

Join the Compute Infrastructure team to keep a planet-scale GPU accelerator fleet healthy and efficient. You'll build observability and telemetry pipelines, automate recovery, hunt compute waste, and optimise accelerator utilisation for large-scale training and inference, working closely with ML infrastructure and research teams.

GCP · Kubernetes · Nvidia GPU +1

• London
• Hybrid · 3 days in office
• Lead

Lead medicinal chemistry strategy across drug discovery programmes, from hit identification through lead optimisation to candidate nomination, while working hands-on as an individual contributor. Partner closely with AI/ML platform teams to shape predictive models, manage CRO resources and KPIs, and represent the company externally with collaborators.

AlphaFold

• Stevenage
• Lead

Develops and deploys cheminformatics and machine learning models on large proprietary datasets to guide go/no-go decisions across drug-discovery programmes. Embeds predictive models into multidisciplinary teams spanning DMPK, toxicology and safety pharmacology, and prototypes LLM-driven agent workflows for design-make-test-analyse cycles.

ChemAxon · RDKit · Pipeline Pilot +2

• Oxford
• On-site
• Senior

Provides hands-on MS&T engineering expertise across drug substance manufacturing and label, packaging and final-storage operations at the Harwell site. Leads technology transfer, process start-up, validation, continued process verification and troubleshooting, authoring protocols and reports as an individual contributor. Works cross-functionally with Manufacturing, Quality and Supply Chain, with on-call or shift coverage as required.

SAP · VEEVA · DeltaV +4

• Oxford
• Hybrid · 3–4 days in office
• Director

As an individual contributor in the Clinical Pharmacology group, you will develop quantitative strategies for dose selection, PK/PD characterization and regimen optimization across oncology, immunology and rare disease programs. You will partner with Pharmacometrics and QSP colleagues, represent CQP on program teams, and contribute to regulatory documentation and interactions.

R · Phoenix WinNonlin · NONMEM +2

• London
• On-site
• Entry level
• Permanent

Open general application for a London-based biotech automation company building machines that fully automate human cell production. The team, drawn from ex-Dyson engineers and Nature-published scientists, seeks people with a track record of solving hard technical or non-technical challenges, low ego and high curiosity, including those starting their first job.

• London
• On-site
• Senior

Owns all aspects of hardware design for automated cell-production machines, from concept through to manufacture, improving robustness and reliability. Leads development of systems interfacing with optics and fluidics, refines test rigs and quality processes, and helps shape engineering culture. Based on-site in the lab at Imperial College's White City innovation hub.

Arduino · Raspberry Pi · Adafruit +1

• Maidenhead
• Mid-level

Monitors clinical trial sites across a diverse portfolio spanning oncology, neuroscience, general medicine, cell & gene and CAR-T therapy. Leads site management, builds relationships with investigators and study teams, and safeguards patient safety and data integrity on complex, first-in-class studies. Distinct for its breadth across therapeutic areas and advanced therapy exposure rather than a narrow single-indication focus.

• Edinburgh
• Lead

Designs, delivers and interprets complex molecular and cellular biology studies for drug discovery and translational research, combining hands-on lab work with technical direction across client programmes. Provides scientific leadership on multiple projects, evaluates new technologies and supports colleagues, working with mammalian cell cultures and advanced cellular systems.

• Cambridge
• On-site
• £45,000 – £50,000 pa
• Senior
• Permanent

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.

CRISPR/Cas9 · Recombinase-Mediated Cassette Exchange · Bxb1 +3

• London
• £51,753 – £53,301 pa
• Contract · Part time

Supports teaching, assessment and curriculum development for an online Genomic Medicine programme, including distance-learning provision and postgraduate education. Supervises student research projects and works with clinical partners to align content with contemporary genomic healthcare practice.

• London
• Hybrid · 2–3 days in office
• Mid-level

Delivers performance analysis, market intelligence and targeted market research to help the Europe & International leadership team make commercial decisions. Combines internal performance data, customer engagement analytics and external insights to explain results, identify risks and growth opportunities, and lead priority qualitative and quantitative studies. Works in a matrix with Global Data & Analytics and research teams, with two to three days a week onsite in London.

Global CX Tools

• Cambridge
• On-site
• £42,254 – £56,535 pa
• Mid-level · manages people
• Contract

Manage a small sub-team fulfilling genomic data requests, defining cohorts from genomic profiles and delivering datasets to researchers. Work spans LINUX/UNIX, HPC, scripting in Python, R and Bash, Git, and database management, with datasets moving from CSD3 to AWS and a commercial bioinformatics platform. Also contributes to wider Bioinformatics team activities.

AWS · CSD3 · Git

• Abingdon
• Hybrid
• £60,000 – £75,000 pa
• Mid-level
• Permanent

National role driving new business and growing existing accounts across the UK life sciences construction market, targeting projects worth £1m-£20m in pharmaceutical, biotech, lab and healthcare facilities. Involves building relationships with end users, consultants and designers, tracking capital programmes, and working with estimating, design and pre-construction teams to shape proposals through tender and contract award.

• London
• On-site
• Entry level
• Permanent

Builds and maintains scalable training and inference pipelines for biological foundation models such as Transformers and SSMs, optimising latency and throughput. Works with researchers and product engineers to turn notebooks into production systems, owning ML infrastructure like data loading, distributed compute and experiment tracking, and prototyping post-training methods.