Biotechnology Jobs

• Stevenage
• Hybrid · 2–3 days in office
• Senior

Embedded with Chemical Manufacturing & Control teams, you take high-priority use cases from problem framing to working prototypes at days-to-weeks cadence, then ship first production versions. Work is AI-augmented: agent frameworks, multi-agent orchestration, MCP and AI coding assistants handle routine coding while you supply judgement and validation, coaching BU engineers along the way.

Claude Code · GitHub Copilot · Databricks AI Assistant +3

• London
• Hybrid · 2–3 days in office
• Senior

Embedded with chemical manufacturing and control teams, you take high-priority AI use cases from problem framing to working prototype at days-to-weeks cadence, then hand proven solutions to a solutions engineer for scale-up. The work centres on Physical AI: self-driving labs, lab automation and robotics, digital-to-physical orchestration, and simulating manufacturing lines and tech transfers in NVIDIA Omniverse and Isaac Sim. AI coding agents handle much of the routine coding, leaving you to frame problems, apply judgement and validate results.

NVIDIA Omniverse · Isaac Sim · Nemotron +7

• Oxford
• Hybrid · 4 days in office
• Permanent

Hands-on mechatronics role spanning mechanical design, electrical integration, software and control, turning scientific requirements and prototypes into reliable laboratory machines. Works with automation scientists and specialist engineers across requirements, build, commissioning and operational use, applying iterative hardware development and systems engineering to productionise prototypes with safety and configuration controls.

• 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.

• London
• Hybrid · 3 days in office
• Senior

Research engineers translate frontier research concepts into practical implementations, building and optimising state-of-the-art AI models such as Transformers, GNNs and diffusion models, plus the codebases, data pipelines and infrastructure for training and evaluation. The role sits in an interdisciplinary team of drug discovery experts and ML specialists, with a strong emphasis on experimentation, benchmarking and taking models from conception to production.

JAX · PyTorch · XLA +6

• Welwyn
• Hybrid
• Senior
• Permanent

Builds physics-grounded machine learning models that combine quantum chemistry with ML to predict small-molecule energetics, conformation, reactivity, binding affinity and free energy. Works in a small-molecule team within AI for Drug Discovery, creating synthetic quantum-mechanics datasets and deployable pipelines that feed molecular-design tools across Roche, with a strong publication and open-source focus.

Psi4 · PySCF · ORCA +5

• Basel, Switzerland
• Hybrid
• Senior
• Permanent

Build physics-grounded machine learning models that combine quantum chemistry with ML to predict small-molecule energetics, conformation, reactivity, binding affinity and free energy. Work in a small-molecule team within AI for Drug Discovery, creating synthetic QM datasets and deployable, scalable pipelines that feed molecular-design tools across Roche, alongside computational and experimental scientists.

PyTorch · JAX · Psi4 +5

• 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
• 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

• Stevenage
• On-site
• Mid-level

Performs complex sample preparation and quantitative analysis of small molecules and biotherapeutics using instrumentation such as GC-MS, ICP-OES, HPLC and LC-MS, supporting both GMP and non-GMP stability studies. Works largely independently to set up, maintain and troubleshoot analytical instrumentation, interpret data for technical validity and compliance, and report results to client teams. Based full-time onsite at a pharmaceutical client site as part of a functional service provider partnership.

GC-MS · ICP-OES · HPLC +2

• Hemel Hempstead
• Senior

Provides technical support and training to customers using mass spectrometry, LCMS and metabolomics platforms across EMEA. Delivers application optimisation, troubleshooting, presentations and product feedback to R&D, combining scientific expertise with customer engagement and up to 50-75% travel.

• London
• Hybrid
• Director
• Permanent

Lead clinical pharmacology and pharmacometrics across a growing drug discovery portfolio, serving as the quantitative lead on cross-functional project teams. Apply MIDD, PBPK, population PK/PD and QSP modelling to translate nonclinical data into human dosing and trial design, spanning small molecules, biologics and novel platforms. Also manages CRO partnerships and authors regulatory submissions.

NONMEM · R · Monolix +3

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

You will design and develop LLM applications for drug discovery, working with research scientists and engineers on model architectures, post-training, reasoning, agents and reinforcement learning. The role spans core ML research, scaling training and inference frameworks, and potentially leading standalone projects with technical mentorship.

JAX · PyTorch · TensorFlow +3

• London
• On-site
• Mid-level
• Permanent

Serves as connective tissue across Global Research, Data Science and Science teams, coordinating external sequencing vendors, research partnerships and publication timelines. Owns cross-functional process improvement and tooling oversight, ensuring training data stays synchronised with frontier AI model releases. Reports to the VP of Global Research with dotted-line alignment to the Founding TPM.

Project Management Systems · Lab Management Systems · Data Systems

• Ireland

Regional Laboratory Manager – DublinRandox are a world leader in diagnostics for clinical healthcare, toxicology, and food security. Our expertise and product portfolio have assisted laboratories across the world in improving health and saving lives. Our global success is a…