Latest Drug Discovery Jobs

Senior Scientist (In vivo Pharmacology & Translational Sciences), Cambridge, MA

This role involves leading translational biology strategies in oncology and immunology, bridging AI-driven drug design with experimental validation. You will design in vivo pharmacology studies, develop biomarker strategies, and manage CRO partnerships to generate robust data for clinical translation. The position plays a key role in advancing drug candidates from discovery through to clinical development by integrating biological insights with machine learning predictions.

Isomorphic Labs England

Hybrid Permanent

Senior Technical Program Manager (InfoSec), London

This role involves translating the company's information security strategy into actionable engineering initiatives, managing complex security projects across cloud infrastructure, identity access management, and secure software development. The person will act as a bridge between security and engineering teams, ensuring robust protection of AI models and sensitive drug discovery data while maintaining research velocity. Key responsibilities include building automated dashboards for risk visibility, securing emerging AI workflows, and navigating the Google/Alphabet ecosystem.

Isomorphic Labs London, United Kingdom

On-site Permanent

Senior Machine Learning Research Engineer

Develop and scale generative and predictive machine learning models for cellular behaviour using multi-omic biological data. Build robust distributed training and inference systems, bridging ML research and production deployment in close collaboration with scientists. Optimize performance across compute, memory, and I/O while advancing core ML infrastructure in a highly interdisciplinary environment.

Relation Therapeutics London, United Kingdom

Permanent

Associate Director, Platform Engineering

Lead and develop the platform engineering team responsible for hybrid infrastructure, Kubernetes-based clusters, and scientific compute environments that support machine learning and drug discovery workflows. Define platform strategy, ensure robust CI/CD, observability, and security, and act as a technical leader across engineering and data science. The role involves shaping a developer platform tailored to computational scientists and genomic data pipelines in a high-impact TechBio environment.

Relation Therapeutics London, United Kingdom

Permanent

General Application - Register Your Interest

Isomorphic Labs is building advanced AI systems to accelerate drug discovery and transform the future of medicine. This is a general interest application for roles in software engineering, machine learning, computational chemistry, and technical project management within an interdisciplinary, research-driven environment. The role involves working at the intersection of AI and biology to develop predictive and generative models for rational drug design.

Isomorphic Labs United Kingdom

Hybrid Permanent

Data Scientist – Computational Genomics, 12-month

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

Relation Therapeutics London, United Kingdom

On-site Permanent

Snr Data Scientist, Computational Genomics/DNA Modelling

Develop and apply machine learning models to link DNA sequence and regulatory elements to functional outcomes in disease contexts. Integrate genomic data with transcriptomic and epigenomic datasets to uncover disease mechanisms and support target discovery. Collaborate closely with experimental teams to validate predictions and guide research in a highly interdisciplinary environment.

Relation Therapeutics London, United Kingdom

Hybrid Permanent

Senior Data Scientist (Imaging)

This role involves curating and analyzing high-content imaging datasets such as cell painting and brightfield assays to build generative and predictive models of cellular behaviour. The Senior Data Scientist will work closely with wet lab teams to ensure data quality, evaluate deep learning models, and integrate imaging data with multi-omic readouts. The position emphasizes interdisciplinary collaboration, model interpretability, and translating biological insights into therapeutic strategies.

Relation Therapeutics London, United Kingdom

On-site Permanent

Senior Data Scientist (Single Cell)

This role involves developing and maintaining scalable data pipelines for single-cell multi-omics data, integrating transcriptomics, chromatin accessibility, proteomics, and imaging to build multimodal datasets for machine learning. The Senior Data Scientist will work closely with wet lab scientists and ML teams to design experiments, evaluate biological relevance of models, and drive insights into cellular decision-making. The position emphasizes advanced computational analysis, interdisciplinary collaboration, and the use of modern ML tooling in a high-impact drug discovery environment.

Relation Therapeutics London, United Kingdom

Permanent

Machine Learning Scientist – Sequence Modelling

Develop and apply advanced machine learning models to DNA and genetic data to uncover associations between genetic variants and diseases. Collaborate with computational and experimental scientists to validate hypotheses and integrate ML into target discovery pipelines. Work on sequence modelling tasks such as variant interpretation, gene discovery, and regulatory mechanism analysis using large-scale genomic datasets.

Relation Therapeutics London, United Kingdom

Permanent

Platform Engineer

This role involves designing and scaling Kubernetes-based hybrid compute clusters across private and public clouds, building core platform services, and supporting machine learning workflows. The engineer will enhance CI/CD pipelines, implement monitoring and disaster recovery systems, and collaborate closely with data science and ML teams to optimize infrastructure for drug discovery. The position is central to enabling scalable, secure, and reliable computational platforms for biomedical innovation.

Relation Therapeutics London, United Kingdom

Hybrid Permanent