Latest Genomics Jobs

Data Scientist – Computational Genomics, 12-month

This role involves applying and developing machine learning and statistical models to analyse multi-omics and genomics datasets, with a focus on target identification and validation in drug discovery. The Data Scientist will work at the intersection of genetics, machine learning, and functional biology, integrating large-scale human genetics and single-cell data to uncover disease mechanisms. Collaboration with experimental and computational teams is central, with an emphasis on scalable workflows, hypothesis validation, and scientific communication.

Relation Therapeutics London, United Kingdom

On-site Permanent

Senior/Research Assistant, Genomics

This role involves end-to-end execution of single-cell RNA-seq and ATAC-seq workflows to generate high-quality genomics data for large-scale perturbation studies. The individual will work at the interface of wet-lab biology and automation, preparing sequencing libraries, ensuring rigorous sample tracking, and collaborating closely with computational and engineering teams to scale protocols. The position plays a key role in transforming functional genomics data into machine learning-ready outputs for drug discovery.

Relation Therapeutics London, United Kingdom

On-site Permanent

Software Engineer

Design and build scalable cloud infrastructure and services to support AI models and agentic applications in a production environment. Develop robust, high-performance systems using modern cloud technologies and biomedical data sources. Collaborate with ML engineers and scientists to ensure infrastructure meets operational and performance requirements across the full software lifecycle.

Experis London, United Kingdom £750 – £830 pd

Applied AI Architect, Beneficial Deployments (Life Sciences)

This role involves serving as the primary technical advisor to life sciences research institutions, helping them adopt and integrate Claude into their scientific workflows. The Applied AI Architect will translate complex research needs into scalable AI solutions, lead technical enablements, and design cohort-based accelerators to drive broad impact across academia and mission-driven organizations. By bridging technical depth with relationship-building, the role focuses on making AI a seamless part of discovery and development in life sciences.

Anthropic London, United Kingdom £165,000 – £190,000 pa

Bioinformatics Engineer, London

This role involves building and maintaining a high-fidelity biological data layer to support machine learning at Isomorphic Labs. You will develop large-scale bioinformatics pipelines, harmonize public and internal datasets, and collaborate with interdisciplinary teams to ensure data quality and standardization. The work directly accelerates drug discovery by providing robust, ML-ready biological data.

Isomorphic Labs London, United Kingdom

Hybrid Permanent

Snr Data Scientist, Computational Genomics/DNA Modelling

Develop and apply machine learning models to connect DNA sequence and genetic variation with molecular and cellular phenotypes in disease contexts. Integrate genomic, transcriptomic, and epigenomic data to uncover disease mechanisms and support target discovery. Work in interdisciplinary teams to validate models and guide experimental research using cutting-edge computational genomics.

Relation Therapeutics London, United Kingdom

On-site Permanent

Scientist, Model Systems

This role involves developing and optimising cellular and biochemical assays using primary and immortalised cell lines, with a focus on fibrotic disease models. The scientist will conduct large-scale perturbation screens, apply multimodal readouts including transcriptomics and proteomics, and collaborate closely with machine learning and automation teams. Work includes assay development, data analysis, and integration into high-throughput workflows within a cross-functional TechBio environment.

Relation Therapeutics London, United Kingdom

On-site Permanent

Machine Learning Scientist – Sequence Modelling

A Machine Learning Scientist will develop and apply advanced sequence modelling techniques to DNA and genetic data to uncover associations between genetic variants and diseases. The role involves building and evaluating ML models for variant interpretation, gene discovery, and regulatory modelling, in close collaboration with computational and experimental scientists. Work is grounded in real-world therapeutic discovery, leveraging both internal and large-scale external genomics datasets.

Relation Therapeutics London, United Kingdom

Permanent

Research Data Engineer

Design and build scalable data systems for multi-modal scientific data, enabling efficient analysis and machine learning in a high-performance research environment. Focus on data pipeline architecture, storage optimization, and seamless integration between wet lab and ML teams. Work across cloud-native infrastructure to support large-scale, GPU-intensive model training and rapid iteration.

Relation Therapeutics London, United Kingdom

Hybrid Permanent

Associate Director, Platform Engineering

Lead the platform engineering function for a TechBio company pioneering drug discovery through single-cell multi-omics and machine learning. Define and evolve the hybrid on-premises and cloud infrastructure strategy, with a focus on Kubernetes, MLOps, scientific compute environments, and platform security. Develop the team and platform to support data-intensive genomic pipelines, model training, and CI/CD maturity while ensuring robust observability, disaster recovery, and compliance with clinical-stage data governance standards.

Relation Therapeutics London, United Kingdom

Permanent