Data Scientist – Cross Indication (12-month FTC) in London

About Relation

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 life’s most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding—from cause to cure.

This year, we embarked on a dual collaboration with GSK to tackle fibrosis and osteoarthritis, while advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK’s 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, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state-of-the-art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into impactful therapies for patients.

We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and reach their highest potential.

By joining Relation, you will become part of an exceptionally talented team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients’ lives.

The opportunity

This is a unique opportunity for a data scientist to work on multi-omics data to drive transformative insights into drug discovery. As a member of the Cross Indication team, you will contribute to identifying and validating drug targets through advanced data analysis and innovative computational approaches.

The Cross Indication team collaborates across Relation’s internal and partnership programmes, applying state-of-the-art computational methods to integrate diverse datasets. By combining biological insights with advanced data analytics, the team drives target discovery and validation initiatives.

Your responsibilities

• Develop and implement robust computational workflows for the integration and analysis of multi-omics datasets, including single-cell and/or spatial modalities.
• Design and apply statistical and computational models for analysing transcriptomics and related omics data.
• Use biological insight and data intuition to design meaningful, challenging evaluation tasks for ML models.
• Collaborate closely with ML researchers to inform and iterate on model architectures and assumptions.
• Partner with experimental scientists to help formulate, test, and validate computational hypotheses.
• Communicate findings clearly through internal presentations and contribute to scientific publications.

Professionally, you have

• A PhD in computational biology, bioinformatics, statistics, physics, mathematics, or a related quantitative discipline.
• Strong experience analysing high-dimensional biological data, including transcriptomics and other omics datasets.
• Proficiency in Python, with experience working in high-performance or cloud computing environments.

Desirable knowledge or experiences

• Experience with single-cell and/or spatial omics data, including patient-derived datasets.
• Familiarity with machine-learning approaches applied to biological data.
• A solid grounding in statistical modelling, algorithm development, or data integration methods.
• Experience working effectively within highly interdisciplinary teams spanning biology, ML, and software engineering.

Personally, you are

• A collaborative, inclusive team player.
• A clear and thoughtful communicator.
• Impact-driven, curious, and motivated to learn.
• Humble, open-minded, and comfortable working in ambiguity.
• Passionate about using data and science to improve patients’ lives.

Join us in this exciting role where your contributions will have a direct impact on advancing our understanding of genetics and 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 genetics. The patient is waiting!