Latest Drug Delivery Jobs

Research Leader (DMPK), Cambridge, MA

Lead DMPK strategy for drug discovery projects using an AI-first approach, integrating quantitative pharmacology and ADME data to guide candidate selection. Develop predictive models, optimise molecule design in collaboration with chemistry teams, and support regulatory submissions. Work within a multidisciplinary team to advance novel therapeutics from hit identification to first-in-human trials.

Isomorphic Labs Cambridge, United Kingdom

Application Support Engineer (Third Party Systems), London

The role involves deploying, securing, and maintaining self-hosted third-party applications within cloud environments, with a strong focus on automation, security, and scalability. You'll manage the full lifecycle of internal tools, including CI/CD pipelines, Kubernetes orchestration, identity integration, and continuous security scanning. The position bridges operations, integration, and security teams to ensure reliable, compliant, and high-performing platform services.

Isomorphic Labs London, United Kingdom

Platform Engineer

A Platform Engineer will design and scale Kubernetes-based hybrid compute clusters across private and public clouds, supporting machine learning and data science workflows. The role involves building core platform services, managing CI/CD pipelines, and ensuring system reliability, security, and scalability. Close collaboration with ML and data teams is essential to meet computational demands in a high-impact biotech environment.

Relation Therapeutics London, United Kingdom

Hybrid 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 Leader (Toxicology), Cambridge, MA

Lead toxicology strategy in an AI-driven drug discovery environment, designing safety assessment frameworks and predictive models to reduce reliance on animal testing. Collaborate with machine learning teams to integrate toxicology insights into a digital drug design engine, while mentoring junior scientists and guiding regulatory submissions for small molecules and biologics.

Isomorphic Labs Cambridge, United Kingdom

Associate Director, Translational Medicine, Oncology, Cambridge, MA

Lead the development and execution of translational medicine strategies for oncology programs, integrating AI-driven insights to inform clinical trial design and biomarker development. Drive cross-functional collaboration across drug discovery, computational biology, and clinical teams to advance novel therapies from preclinical stages through clinical proof of concept. Pioneer innovative diagnostic approaches and leverage multi-omic datasets to validate mechanisms of action and resistance in cancer therapies.

Isomorphic Labs Cambridge, United Kingdom

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

Lead translational strategies for oncology and immunology programs by designing in vivo pharmacology and PK/PD studies, bridging computational predictions with experimental validation. Work across CROs to generate robust data for candidate selection and clinical translation, integrating biomarker strategies and informing first-in-human trial design.

Isomorphic Labs England

Research Engineer (LLM Performance), London

This role involves advancing large language models for drug discovery by optimizing post-training methods, scaling frontier AI systems, and solving performance bottlenecks in distributed training and inference. The engineer will collaborate with interdisciplinary teams to translate research into production-ready systems, applying low-precision techniques and performance optimization strategies to real-world drug design challenges. Work focuses on improving model efficiency and scalability within a mission-driven environment combining AI and computational biology.

Isomorphic Labs London, United Kingdom

General Application - Register Your Interest

This role invites expressions of interest for future opportunities across software engineering, machine learning, computational chemistry, and technical program management. Candidates will contribute to a mission-driven team leveraging cutting-edge AI to accelerate drug discovery and advance digital biology. The work involves interdisciplinary collaboration to build and apply AI models for transformative impact in medicine.

Isomorphic Labs United Kingdom

Hybrid Permanent

Senior Machine Learning Research Engineer

This role involves building and scaling generative and predictive machine learning models for cellular behaviour using multi-omic and interventional biological data. The engineer will implement large neural networks, optimise distributed training and inference pipelines, and collaborate closely with ML scientists and biologists to translate research into production-grade systems. Work focuses on robust infrastructure development, performance optimisation, and integrating cutting-edge ML tooling within an interdisciplinary team.

Relation Therapeutics London, United Kingdom

Permanent

Senior/Principal Machine Learning Scientist (Generative Modelling)

This role involves developing generative and predictive models of cellular behaviour using single-cell multi-omics and perturbation data, with a focus on causal inference, counterfactual prediction, and guiding experimental design. The scientist will work iteratively with wet-lab teams to validate hypotheses and refine models, operating at the intersection of machine learning and experimental biology. The position emphasizes mechanistic fidelity, real-world utility, and interdisciplinary collaboration in a high-impact drug discovery environment.

Relation Therapeutics London, United Kingdom

On-site Permanent

Machine Learning Scientist, Generative Modelling

Develop machine learning models tailored to single-cell and multiomic biological data to understand cellular responses to interventions and inform therapeutic strategies. Work at the intersection of generative modelling and experimental biology, collaborating closely with wet-lab scientists to translate biological questions into modelling problems and interpret results in meaningful ways. Contribute to the research roadmap and advance the biological coherence of model evaluation beyond standard metrics.

Relation Therapeutics London, United Kingdom

On-site Permanent

Senior Data Scientist (Single Cell)

Develops generative and predictive models of cellular behaviour using single-cell multi-omics data, including scRNA-seq and scATAC-seq. Builds scalable Nextflow pipelines and integrates multimodal datasets with proteomics and imaging. Works closely with wet lab and ML teams to design experiments and validate biological relevance of models.

Relation Therapeutics London, United Kingdom

Permanent

Talent Pool

This role is part of an open talent pool for future opportunities at Relation Therapeutics, a tech-driven biotech company focused on drug discovery using single-cell multi-omics and machine learning. The company seeks candidates in computational and discovery life sciences, as well as ML engineering with high-performance GPU computing experience. Positions will support interdisciplinary research and development in London’s state-of-the-art labs, contributing to transformative therapies for diseases like fibrosis, osteoarthritis, and osteoporosis.

Relation Therapeutics London, United Kingdom

On-site Permanent

Technical Program Manager (DDMR), Cambridge, MA

This role involves managing small molecule drug discovery programs, facilitating collaboration between the Cambridge and London offices, and supporting the DDMR team with program planning, risk management, and stakeholder communication. The position requires a strong background in drug discovery and program management, with a focus on integrating AI and ML technologies.

Isomorphic Labs Cambridge, United Kingdom