Latest Genomics Jobs

Research Assistant in Microbial Genomics

This role involves managing and analysing a large collection of over 60,000 Neisseria gonorrhoeae genomes to study antimicrobial resistance, vaccine antigen diversity, and pathogen evolution. The postholder will develop and apply bioinformatics workflows for genome annotation, conduct population genomic analyses, and contribute to research dissemination through publications and presentations. Work will be conducted within a multidisciplinary team at the University of Oxford, with opportunities to support teaching and mentoring activities.

University of Oxford Oxford, South East England, United Kingdom £35 – £41 pa

Contract

(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

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 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

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.

Moderna

Hybrid Permanent

Research Associate (Molecular Ecology/Bioinformatics)

This role involves supporting researchers with study design, data analysis, and training in molecular ecology and bioinformatics, particularly in metabarcoding, population genomics, and sequence assembly. The postholder will contribute to R&D activities within a large, interdisciplinary genomics laboratory serving around 70 researchers. Work includes handling DNA sequence datasets and utilising high-performance computing for complex analyses.

University of Sheffield Sheffield, Northern England, United Kingdom £38 – £39 pa

Contract

Associate Director 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

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

Associate Director Predictive Agentic Target Biology

Lead the development and application of predictive computational models and agentic workflows to evaluate target biology, safety, and translatability in drug discovery. Integrate multimodal biological data and collaborate with cross-functional teams to inform go/no-go decisions. Design and execute hypothesis-driven experiments to validate mechanisms and advance robust, reproducible methods with direct patient impact.

GSK

Senior / Principal Bioinformatician

Process and analyse multi-omic clinical datasets including RNAseq, NGS, and proteomics to derive biological insights supporting drug development decisions. Develop and optimise computational pipelines, integrate omics data with clinical variables, and contribute to scientific reporting and publications. Work autonomously within a collaborative, science-driven team across therapy areas such as oncology, neuro, and inflammation.

Hays Life Sciences London, United Kingdom

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

Bioinformatics Scientist

This role involves transforming large-scale, complex biological data—primarily microbiomes—into annotated, model-ready resources for AI-driven discovery. The scientist will develop novel methods to analyse non-standard genomic data, ensure data integrity, and contribute to tools that guide global biodiversity sampling. Work spans prokaryotes and eukaryotes, with a focus on innovation where traditional tools fall short.

Basecamp Research London, United Kingdom

On-site Permanent

Bioinformatics Engineer, London

You will build and maintain a high-fidelity biological data layer by developing large-scale, production-grade bioinformatics pipelines that transform raw data (e.g., FASTQ, BAM) into standardized, version-controlled datasets for machine learning. You'll harmonize public and internal biological data sources, collaborate with interdisciplinary research teams, and ensure robust data integration to accelerate AI-driven drug discovery. Your work will directly enable faster, more accurate model training across genomics, proteomics, and functional genomics modalities.

Isomorphic Labs London, United Kingdom

Hybrid Permanent