Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of lifeâs most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understandingâfrom cause to cure.
This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSKâs deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients.
We are rapidly scaling our technology and discovery teams, creating a unique opportunity to join one of the most innovative TechBio companies. At the heart of London, our state-of-the-art wet and dry laboratories provide an exceptional environment where interdisciplinary collaboration thrives. Together, weâre pushing the boundaries of drug discovery and transforming groundbreaking science into impactful therapies for patients.
We believe that innovation flourishes through diversity and collaboration. As an equal opportunitiesâ employer, we are committed to building inclusive teams where everyone can contribute their unique perspectives and thrive. We welcome individuals of all backgrounds, fostering an environment where every team member is empowered to do their best work and reach their highest potential.
By joining Relation, youâll become part of an exceptionally talented team with extraordinary leverage to advance the future of drug discovery. Your work will help shape our culture, influence our strategic direction, and, most importantly, make a lasting difference in the lives of patients.
Join our machine learning group as a Research Engineer and help drive the development, deployment, and scaling of ML and computational systems across the company. Youâll work at the intersection of research and engineeringâimproving research workflows, supporting rapid experimentation, and enabling teams to push the limits of modern ML.
Youâll collaborate with machine learning scientists, data scientists, platform engineers, and other domain experts across the organisation. Depending on priorities, you may work within a specific ML team or operate in a cross-functional capacity.
Based at our wet/dry lab and headquarters in central London, youâll tackle challenges involving large datasets, complex models, and high-performance compute. Your work will strengthen our training and inference pipelines, improve our software foundations, and optimise our hybrid on-prem/cloud environment, which includes dedicated DGX clusters and collaboration with partners like NVIDIA. This role offers a chance to shape the systems and tools that power cutting-edge ML research.
Work with interdisciplinary teams to solve challenges across data engineering, ML engineering, and software engineering.
Build and improve data processing, transformation, and loading systems to support model training and inference at scale.
Develop and maintain high-quality research and production codebases to enable rapid, reproducible experimentation.
Advance our software engineering practices by optimising systems, streamlining pipelines, and improving robustness across workflows.
Education & Experience
BSc/MSc/PhD in CS/ML/Engineering (or related), 2+ years industry experience.
Core Skills
Solid understanding of algorithms, data structures, complexity.
Proficiency in Python with clean, maintainable coding practices.
Familiarity with PyTorch and common scientific Python libraries.
ML Expertise
Solid understanding of ML fundamentals and modern deep learning.
Experience training, evaluating, and iterating on models.
Infrastructure
Familiarity with AWS/GCP, Docker, Kubernetes, and CI/CD.
Familiarity with orchestration tools (Airflow/Prefect) and model-serving frameworks.
Nice to Have
Exposure to biology/bioinformatics or ML for scientific domains.
A collaborative team player, able to work and communicate effectively with stakeholders from diverse backgrounds and technical abilities
Passionate about science and making a real difference for patients
Self-motivated, curious and driven to succeed
User-minded: you think about how datasets and models will be used downstream
Comfortable working independently and taking initiative
Join us in this exciting role where your contributions will have a direct impact on advancing our understanding of disease risk, supporting our mission to get transformative medicines to patients. Together, we're not just doing research; we're setting new standards in the field of machine learning and drug discovery. The patient is waiting!
Relation is a committed equal opportunities employer.
RECRUITMENT AGENCIES: Please note that Relation Therapeutics does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation Therapeutics will not be liable for any fees associated with unsolicited CVs.
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