Biotechnology Jobs

• Oxford
• On-site
• £40,000 pa
• Entry level
• Permanent

Designs and troubleshoots experiments in continuous evolution, engineering orthogonal replication systems for targeted gene evolution while preserving host viability. Involves computational analysis of complex datasets, publishing high-quality research, mentoring junior staff, and pursuing IP and translational opportunities within a new Oxford institute.

• Oxford
• On-site
• £40,000 pa
• Entry level
• Permanent

Designs and troubleshoots experiments in synthetic chromosome engineering, including centromere design, mitotic segregation and meiotic recombination in mammals and plants. Involves large DNA construct assembly, cell culture, NGS, live-cell imaging and FISH, plus computational analysis, publishing, mentoring junior researchers and pursuing IP and translational opportunities.

NGS

• London
• Hybrid
• £119,250 – £198,750 pa
• Director

Leads model-informed drug development for oncology programmes, defining and executing model-based strategies from late candidate selection through life cycle management. Conducts population PK, exposure-response and simulation-based trial design work, applying AI/ML and quantitative systems pharmacology methods, and defends results to governance boards and regulators. Sits within Oncology Translational Medicine's Clinical Pharmacology Modelling and Simulation group, working across small molecules, biologics and antibody drug conjugates.

NONMEM · R

• Belgium-Wavre
• Hybrid
• €119,250 – €198,750 pa
• Director

Leads model-informed drug development for oncology programmes, defining and executing model-based strategies from late candidate selection through life cycle management. Conducts population PK, exposure-response and simulation-based trial design work, applying AI/ML, quantitative systems pharmacology and model-based meta-analysis to small molecules, biologics and antibody drug conjugates. Presents and defends modelling outcomes to governance boards and regulators, and contributes to protocols, analysis plans and submissions.

NONMEM · R

• London
• Hybrid · 3 days in office
• Lead

Technically lead the Platform group, owning cloud infrastructure and the software lifecycle for training and inference systems. Work across GCP, Kubernetes, Docker and Terraform with scientists and ML researchers, reporting to the Director of Engineering in a small, fast-moving team.

GCP · Kubernetes · Docker +7

• London
• Hybrid · 3 days in office
• Senior · manages people

Lead computational chemistry strategy across drug discovery programs, applying AI-first approaches to hit finding, molecular design and lead optimisation. Work with ML scientists to embed generative models into cheminformatics workflows, with some roles managing 2-3 computational chemists.

REINVENT · AlphaFold · Large Language Models

• London
• £48,246 – £58,318 pa
• Entry level
• Contract

Supports the production and characterisation of recombinant proteins for molecular glue discovery, focusing on expression, purification and characterisation using mammalian cell systems. Contributes to biochemical or biophysical assay development and helps run the laboratory day to day, including equipment upkeep, consumables and waste disposal, within a multidisciplinary chemical biology and proteomics team.

HEK293 · Expi293 · Agilent Measurement Suite

• United Kingdom
• Remote
• Director · manages people

Senior medical leadership role within a clinical research organisation, acting as a cardiovascular subject matter expert supporting proposals, bid defences and client engagement. Responsibilities span RFP input, protocol and regulatory strategy, internal therapeutic training, and mentoring clinical scientists, with peer-level interaction with pharma medical leadership.

PPD

• Glasgow
• £39,906 – £46,049 pa
• Entry level
• Contract

Develops high-throughput Python workflows to analyse coarse-grained molecular-dynamics simulations of engineered protein assemblies, extracting geometric, topological and structural descriptors such as curvature, lumen dimensions and packing order. Builds structure-property relationships and reusable, version-controlled pipelines feeding predictive and active-learning models, within an interdisciplinary team spanning computational chemistry, machine learning, protein science and engineering.

Martini · GROMACS · VMD +2

• Saffron Walden
• Hybrid · 1–2 days in office
• £3,452 pm
• Mid-level
• Contract

Develops the user-facing Europe PMC service, building fast, accessible interfaces for searching and navigating a corpus of over 47 million biomedical publications. Works with UX, product, back-end and data science colleagues to create reusable components, integrate REST APIs and JSON data, and improve performance, accessibility and maintainability within an Agile team.

React · Vue · Git +2

• London
• Hybrid
• Permanent

Architect novel generative models to design functional proteins, working in an interdisciplinary team of ML researchers, protein engineers and biologists. Split roughly 90% model building and 10% self-development, spanning data curation, evaluation metrics, prototyping, cloud training/inference and wet lab testing campaigns.

• London
• On-site
• Permanent

Runs a high-throughput sample processing pipeline, performing DNA extraction, normalisation and library preparation on soil, faecal and other environmental samples. Operates automated liquid handling platforms such as Myra9, logs everything in Benchling LIMS, and carries out QC checks while supporting R&D protocol testing in a CL2 lab.

Benchling · Myra9 · Hamilton +2

• Cambridge
• Hybrid · 3 days in office
• Lead

Designs and builds end-to-end AI and optimisation solutions, including mathematical optimisation, modelling and simulation, for complex pharmaceutical business problems. Works in a global team of AI engineers, data scientists and software developers, visualising model outputs and championing software engineering best practices such as Python, CI/CD and testing.

CPLEX · Gurobi · SCIP +1

• Abingdon
• On-site
• Director · manages people
• Permanent

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.

RDKit · Python · AlphaFold

• London
• Permanent

Builds and scales generative and predictive models of cellular behaviour, acting as the bridge between ML theory and implementation. Day to day involves optimising large neural networks, distributed multi-GPU training, profiling GPU workloads, and productionising research code for multi-modal biological data.

PyTorch · CUDA · Triton +3