Latest Genomics Jobs

(Senior) Computational Genomics Scientist, Algorithms & AI/ML

Design and develop computational algorithms and AI/ML methods to translate metagenomic sequencing data into actionable clinical and public health insights. Focus on taxonomic classification, antimicrobial resistance prediction, and scalable workflow integration within a multidisciplinary team. Work leverages long-read sequencing and large-scale pathogen genomic datasets to advance diagnostic tools.

Ellison Institute of Technology Oxford, United Kingdom
Hybrid Permanent

Senior Scientist, AMR Genomics - Pathogen

This role involves curating expert rules for interpreting antimicrobial resistance (AMR) genotypic data, analysing whole genome sequences and antimicrobial susceptibility test (AST) results, and supporting the development of diagnostic tools. The scientist will investigate novel resistance mechanisms, collaborate on machine learning models, and contribute to a large-scale pathogen database using long-read sequencing. Work is primarily desk-based with opportunities for lab research and cross-team collaboration in a high-impact, translational environment.

Ellison Institute of Technology Oxford, United Kingdom
Hybrid Permanent

Senior Postdoctoral Research Assistant in Skin Immunology and Single-cell Genomics

Conduct interdisciplinary research on T cell antigens in Graft-versus-Host and Graft-versus-Leukaemia responses using multiomic and computational approaches. Perform wet-lab experiments including single-cell and spatial transcriptomics, analyse complex immunological datasets, and collaborate with clinical and computational teams. Support lab operations and contribute to method development in skin immunology and transplantation contexts.

University of Oxford Oxford, South East England, United Kingdom £49 – £58 pa
Contract

Research Associate (Bioinformatics, Population Genomics & Research Data Management)

This role involves developing reproducible bioinformatics pipelines and delivering data training to support UK research teams in ecological adaptation. The researcher will conduct independent re-analyses, verify genomic findings, and ensure transparency through interactive dashboards. Work integrates population genomics, data curation, and open science practices within a collaborative national programme.

University of Sheffield Sheffield, Hybrid, Northern England, United Kingdom £38 – £41 pa
Hybrid Contract
Genomics England logo

Lead Genomic Data Scientist - Cancer (we have office locations in Cambridge, Leeds & London)

Leads cancer genome analysis and interpretation projects within a research environment, providing technical and scientific leadership. Manages a high-performing team and drives end-to-end genomic analysis, from design to delivery, in collaboration with internal and external stakeholders. Focuses on improving best practices in genome analysis and benchmarking tools for whole genome data processing.

Genomics England Canary Wharf, London, E14 5AB, United Kingdom £71,000 – £100,000 pa
Hybrid Permanent
Moderna logo

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
Moderna logo

Principal Scientist, Bioanalytical & Molecular Assays

This role involves leading the development and validation of advanced molecular assays—including RT-qPCR, dPCR, and NGS-based methods—for clinical biomarker programs at Moderna. The scientist will drive end-to-end assay lifecycle management, ensure compliance with GCLP and regulatory standards, and collaborate across multidisciplinary teams to generate high-quality genomic data. A key focus is integrating genomics, bioinformatics, and clinical insights to support drug development and inform future pipeline strategies.

Hybrid Permanent
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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
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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
AstraZeneca logo

Senior Research Scientist - Omics, Bioscience, Oncology Targeted Delivery

This role involves hands-on laboratory work and data analysis in genomics, transcriptomics, and single-cell sequencing to support oncology drug discovery. The scientist will develop and optimise NGS workflows, process and interpret complex omics datasets, and collaborate across disciplines to translate findings into scientific insights. Emphasis is placed on integrating experimental and computational approaches, with opportunities to apply AI-enabled tools for enhanced data interpretation and workflow efficiency.

AstraZeneca Cambridge, United Kingdom
Experis logo

Software Engineer

Design and build scalable cloud infrastructure for AI and agentic systems, focusing on model serving, reliability, and efficient deployment across the full software lifecycle. Work closely with ML engineers and scientists to deliver robust, high-performance systems on GCP. Implement CI/CD, monitoring, and cloud-native architectures to support production AI workloads.

Experis London, United Kingdom £750 – £830 pd
GSK logo

Director, AI/ML MIDD Oncology Clinical Pharmacology, Modeling and Simulation

Lead and execute model-informed drug development strategies in oncology, applying advanced pharmacometric and AI/ML techniques to optimize clinical trial design, dose selection, and regulatory submissions. Drive innovation in exposure-response analysis, population PK/PD, and quantitative systems pharmacology within a cross-functional R&D environment.

GSK Stevenage, United Kingdom £119,250 – £198,750 pa
GSK logo

Director, AI/ML MIDD Oncology Clinical Pharmacology, Modeling and Simulation

Lead and execute model-informed drug development strategies in oncology, applying advanced pharmacometric and AI/ML techniques to optimize dose selection, trial design, and regulatory submissions. Work across multidisciplinary teams to drive quantitative decision-making in clinical pharmacology and contribute to the development of innovative cancer therapies.

GSK United States £188,100 – £313,500 pa

Director, Biopharma Data Science

Lead the development of an AI scientist platform for drug discovery, combining multimodal biological data and agentic AI to automate target identification and hypothesis generation. Guide a team of data and research scientists in building systems that reason over omics, clinical, and literature data to accelerate pharmaceutical R&D. Work at the intersection of machine learning, computational biology, and pharmaceutical strategy.

Owkin France
Remote Permanent

Research Fellow (Bioinformatics)

Develop and deploy scalable bioinformatics pipelines and cloud-based infrastructure to support genomics and multi-omics research within a collaborative, industry-led translational research environment. Work closely with biologists and software developers to integrate advanced computational methods with cloud platforms like AWS, Azure, or GCP. Focus on streamlining data analysis workflows and enhancing data sharing across interdisciplinary projects.

Queen's University Belfast Belfast, United Kingdom £41 pa
Contract