Latest research scientist Jobs

Research Scientist (Machine Learning), Lausanne

A Research Scientist in Machine Learning will develop novel deep learning models and algorithms to advance drug discovery, working in interdisciplinary teams to solve complex biological and chemical problems. The role involves designing architectures, training models, and translating research into scalable AI-driven solutions within a fast-paced, innovation-driven environment.

Isomorphic Labs United Kingdom

Hybrid Permanent

ML Research Engineer, London

Develop and optimise cutting-edge AI models at the intersection of machine learning and drug discovery, translating research into scalable, production-ready systems. Work on foundational models like Diffusion networks, Transformers, and GNNs, building robust infrastructure and data pipelines while collaborating closely with scientists. Focus on advancing a digital biology platform to accelerate rational drug design across multiple therapeutic areas.

Isomorphic Labs London, United Kingdom

On-site Permanent

(Senior) Group Leader, Plant Phenotyping - Plant Biology Institute

Leads a transformative research programme in next-generation plant phenotyping, developing automated, high-throughput, sensor-based technologies to measure plant performance across indoor and outdoor environments. Builds and manages an interdisciplinary team spanning biology, engineering, data science, and automation, while establishing pipelines for processing and analysing phenotyping data. Collaborates with AI and ML experts to accelerate discovery and translate research into commercially relevant, sustainable agricultural solutions.

Ellison Institute of Technology Oxford, United Kingdom

On-site Permanent

(Senior) Group Leader, Nitrogen Fixation - Plant Biology Institute

Lead a flagship research programme in biological nitrogen fixation, focusing on engineering novel nitrogen-fixing systems in plants using metabolic and protein engineering. Recruit and manage a high-performing research team, drive translational science from lab to field, and collaborate across EIT’s interdisciplinary ecosystem. The role emphasizes rigorous experimental design, stage-gated research delivery, and the development of commercially viable, impact-driven plant science solutions.

Ellison Institute of Technology Oxford, United Kingdom

On-site Permanent

Member of Technical Staff

Design and develop novel generative machine learning models for protein design, integrating with wet lab experiments to validate performance in real-world biological contexts. Collaborate closely with interdisciplinary teams of researchers, engineers, and biologists while maintaining robust, scalable code and infrastructure. Focus on rapid prototyping, model optimization, and continuous learning from experimental feedback to advance synthetic biology.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Member of Technical Staff, Applied AI

This role involves deploying and adapting proprietary generative AI models within pharmaceutical and biotech customer environments. You'll work closely with interdisciplinary teams to integrate models into production systems, optimize performance, and translate scientific requirements into technical solutions. The position requires deep expertise in generative modelling, strong ML engineering skills, and the ability to act as a technical liaison between research and customer teams.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Senior Bioinformatics Scientist

A Senior Bioinformatics Scientist will define data requirements for AI models, design biologically sound datasets and evaluations, and ensure data integrity in training foundational genomic models. The role involves close collaboration with deep learning and engineering teams to validate model performance and biological relevance. Work focuses on sequence analysis, annotation, and evolutionary-scale data interpretation to support therapeutic discovery.

Basecamp Research London, United Kingdom

On-site Permanent

Immunohistochemistry Scientist

Perform hands-on development and optimisation of automated immunohistochemistry (IHC) assays in a preclinical research environment. Independently design experiments, analyse data, and contribute to client projects requiring scientific rigour and regulatory compliance. Support study reporting, troubleshooting, and process improvement within a GLP/GxP-aligned laboratory setting.

RBW Consulting Royston, Hertfordshire, United Kingdom

On-site Permanent

Associate Principal Scientist - In Vivo Pharmacology (Kidney or Metabolic)

Lead the design and execution of in vivo pharmacology studies within kidney or metabolic disease research, providing scientific leadership on client-sponsored drug discovery programmes. Work closely with multidisciplinary teams and clients to develop study strategies, interpret complex data, and mentor junior scientists. This role offers broad exposure to innovative therapeutics across biotech and pharma pipelines in a scientifically driven CRO environment.

Mackie Myers Ng11Gr, United Kingdom £45,000 – £55,000 pa

Principal Scientist Predictive Agentic Target Biology

Lead the development and application of predictive computational models and agentic workflows to evaluate the tractability and safety of biological targets for drug discovery. Integrate multimodal data including genomics, proteomics, and functional screens to inform target prioritisation and mechanism of action. Collaborate with biologists, data scientists, and project teams to translate biological questions into robust, reproducible pipelines that guide go/no-go decisions in early drug development.

GSK Stevenage, United Kingdom

Hybrid Permanent

Principal Scientist, Translational Data Sciences

Lead translational data science initiatives using human genetics and multi-omic data to inform drug discovery decisions. Develop reproducible analysis workflows, integrate diverse biological and clinical datasets, and collaborate with cross-functional teams to identify drug targets and biomarkers. Mentor junior scientists and translate complex findings into actionable insights for project teams.

GSK Stevenage, United Kingdom €74,250 – €123,750 pa

Senior Scientist Biomarker Lead

This role involves designing and delivering biomarker strategies and assays to support clinical development in respiratory and immunologic diseases. The scientist will lead biomarker studies using human biospecimens, interpret complex datasets, and provide evidence-based recommendations to guide trial design and patient selection. Working at the interface of lab science and clinical development, the role emphasizes assay development, cross-functional collaboration, and the application of advanced translational technologies.

AstraZeneca Cambridge, United Kingdom

Principal Scientist, Bioanalytical & Molecular Assays

Lead the development and validation of molecular assays including RT-qPCR, dPCR, and NGS for clinical biomarker programs across Moderna's therapeutic pipeline. Drive end-to-end assay lifecycle management, ensure regulatory compliance with GCLP standards, and collaborate with cross-functional teams to deliver high-quality genomic data. Mentor scientists and integrate advanced analytics and AI-enabled tools to accelerate discovery and translational research.

Moderna Oxford, United Kingdom

Hybrid Permanent

Senior Research Associate, Bioanalytical & Molecular Assays

This role involves developing, qualifying, and validating molecular bioanalytical assays—such as qPCR, ddPCR, and RT-qPCR—to support clinical pharmacokinetic and pharmacodynamic studies within a GCLp-compliant environment. The scientist will work closely with cross-functional teams to ensure robust data generation, maintain regulatory compliance, and integrate emerging digital and automation technologies into workflows. A strong focus on reagent management, assay documentation, and continuous process improvement is central to the position.

Moderna Oxford, United Kingdom

Hybrid Permanent

Research Fellow: AI for Molecular Modelling - 16961

This role involves developing computational models to predict species sensitivity to endocrine-disrupting chemicals using protein structure modelling, molecular docking, and AI techniques. The researcher will analyse nuclear receptor interactions across vertebrate species and integrate computational results with experimental data from collaborators. The position focuses on interdisciplinary AI-driven research in toxicology and molecular biology.

Brunel University London Uxbridge, London, UB8 1SB, United Kingdom £41 – £44 pa

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