Latest Drug Discovery Jobs

Drug Discovery Computational Chemist

Develop software solutions that integrate robotics and digital chemistry workflows, working closely with engineers and scientists to build scalable automation platforms. Contribute to a transformative system that makes chemical synthesis programmable through AI and advanced automation. Focus on building robust tools, APIs, and user interfaces within a cross-functional team environment.

Next Phase Recruitment Glasgow, City Of Glasgow, G2 1AL, United Kingdom

Head of Computational-Aided Drug Discovery

Leads a computational chemistry and data science team embedded in multidisciplinary drug discovery projects, applying AI, machine learning, and structure-based methods to drive hit identification and lead optimisation. Directs scientific strategy, develops workflows, and contributes hands-on to project teams using biophysical and structural data. Focuses on integrating modern computational techniques with experimental insights to advance pre-clinical candidates.

Pure Resourcing Solutions Great Abington, Cambridgeshire, United Kingdom £100,000 pa

Associate Director / Director – Integrated Drug Discovery & Project Leadership

Lead multidisciplinary drug discovery projects from target validation through hit identification and lead optimisation, integrating biology, chemistry, DMPK, and translational sciences. Provide scientific and people leadership within a GPCR-focused discovery engine powered by structural biology and computational design. Drive innovation, portfolio progression, and team development in a fast-paced biopharma environment.

Talentmark Great Abington, Cambridgeshire, United Kingdom

Head of Computer-Aided Drug Discovery (CADD)

Lead a computational drug discovery team focused on structure- and fragment-based design, integrating AI/ML, cheminformatics, and advanced simulation methods into multidisciplinary drug discovery programmes. Drive computational strategy while maintaining hands-on involvement in projects from hit identification through to candidate nomination. Collaborate closely with medicinal chemistry, structural biology, and biophysics teams to deliver innovative therapeutics.

VRS UK Cambridge, Cambridgeshire, United Kingdom

Compound Coordinator (Chemistry Data Generation, Drug Discovery), London

This role involves coordinating compound management and supply across external CROs to support drug discovery data generation efforts. The coordinator will streamline processes, ensure timely chemical procurement, and support internal registration systems. It sits at the intersection of chemistry operations and AI-driven drug design, requiring strong organisational skills and collaboration with both scientific and technical teams.

Isomorphic Labs London, United Kingdom

Hybrid Permanent

Senior Computational Biologist – Early Discovery Immunology

A Senior Computational Biologist will drive target discovery in immunology and inflammatory diseases by integrating multi-omics data (phenomics, transcriptomics, genomics, proteomics) to nominate and validate novel therapeutic targets. The role involves developing computational methods, collaborating with cross-functional teams, and translating complex analyses into actionable drug discovery programs using Recursion’s AI-driven platform.

Recursion United Kingdom £151,800 – £220,660 pa

Hybrid Permanent

Senior Computational Biologist - Early Discovery Oncology

Drive target discovery and validation in precision oncology by integrating multimodal biological data (phenomics, transcriptomics, genomics, proteomics) to identify novel therapeutic targets. Collaborate with cross-functional teams to develop scalable computational methods and build compelling data packages that advance drug programs. Develop criteria for target nomination and support early translational strategies using AI-powered platforms.

Recursion United Kingdom £151,800 – £220,660 pa

Hybrid Permanent

Research Leader / Senior Scientist (Medicinal Drug Design), Cambridge, MA

Lead or contribute to drug discovery projects at the intersection of medicinal chemistry and AI, guiding programs from initiation to candidate selection. Collaborate closely with machine learning scientists to refine AI-driven drug design models and drive innovation in synthetic organic chemistry. Play a key role in shaping next-generation therapeutic development through strategic input, CRO management, and intellectual property generation.

Isomorphic Labs Cambridge, United Kingdom

Software Developer - Biology

This role involves building and maintaining scalable software systems for virtual drug discovery, integrating bio foundation models into production pipelines, and developing tools for biological data analysis and visualization. The developer will work closely with ML scientists, backend engineers, and biologists to optimize workflows and ensure reliable, high-performance execution of in-silico experiments. It's a cross-disciplinary position combining computational biology, software engineering, and AI-driven drug discovery.

Helical London, United Kingdom

Hybrid Permanent

Associate Principal Scientist - In Vivo Pharmacology

Lead and direct in vivo pharmacology studies within multidisciplinary teams to advance preclinical drug discovery programmes targeting kidney diseases such as CKD, AKI, and diabetic nephropathy. Design and interpret translational studies using disease models, support target validation, and guide therapeutic development through biomarker and efficacy analysis. Collaborate with biotech and pharma partners while mentoring scientists and shaping scientific strategy.

Proclinical Nottingham, Nottinghamshire, United Kingdom £50,000 – £500,000 pa

Platform Engineer

This role involves building and scaling the infrastructure that powers an AI-native biological research platform. The engineer will manage Kubernetes clusters, cloud infrastructure, and ML pipelines while ensuring secure, multi-tenant systems with strong isolation. Collaboration with ML, backend, and product teams is central to deploying production systems for AI-driven drug discovery.

Helical London, United Kingdom

Hybrid Permanent

Senior Scientist (12-Month , Oncology Research

This role involves conducting in-vitro and ex-vivo experiments to evaluate candidate drugs and elucidate mechanisms of action in immune-oncology. The scientist will develop and run immunological assays, analyse immune cell function and phenotype using flow cytometry and other techniques, and contribute to target validation. The position is embedded in a discovery team focused on advancing novel therapeutics within AstraZeneca’s oncology pipeline.

AstraZeneca Cambridge, United Kingdom

Contract

Research Pipeline Project Manager

Lead and coordinate cross-functional research pre-clinical pipeline projects, shaping strategies, removing barriers, and driving delivery across discovery stages. Work closely with scientists, clinical teams, and external collaborators to accelerate milestones while maintaining quality and safety. Focus on governance, risk resolution, and continuous improvement in ways of working to support GSK's R&D ambitions.

GSK Stevenage, United Kingdom

Hybrid Permanent

Machine Learning Scientist - Quantum Chemistry

This role involves developing machine learning models grounded in quantum chemistry to accelerate small-molecule drug discovery. The scientist will create synthetic datasets using quantum mechanical methods, build scalable and reproducible ML pipelines, and collaborate with computational and experimental teams to model molecular energetics and protein–ligand interactions. Work contributes directly to drug design tools at Roche, with opportunities for scientific publication and open-source contributions.

Roche Welwyn Hatfield, United Kingdom

Hybrid Permanent

Director, Translational Data Enablement

Leads the transformation of translational and biomarker data into standardized, AI-ready data products to accelerate drug discovery. Manages a distributed team of data professionals and drives cross-functional alignment on data standards, FAIR principles, and automation. Focuses on scalable data product delivery, semantic integration, and emerging technologies like agentic AI to enable precision medicine and biomarker research across therapeutic areas.

AstraZeneca Cambridge, United Kingdom

Hybrid Permanent