Senior/Principal Data Scientist – Computational Genomics

Join to apply for the Senior/Principal Data Scientist – Computational Genomics role at 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, Relation launched a dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing internal osteoporosis programmes. By combining cutting-edge ML capabilities with GSK’s expertise in drug discovery, Relation is committed to pioneering science and delivering impactful therapies to patients.

Relation is an equal opportunities employer and does not discriminate on 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.

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 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.

• Develop and implement computational workflows for analysing multi-omics and population genetics data.
• Perform data integration to uncover disease mechanisms and identify actionable targets.
• Design statistical models for analysing genomics, transcriptomics and other omics datasets.
• Collaborate closely with experimental and machine learning teams to validate computational insights.
• Present findings and methodologies to internal stakeholders and contribute to publications.

• PhD in genomics, computational biology, bioinformatics, or a related quantitative field.
• Extensive experience in statistical genetics and multi-omics data analysis, including transcriptomics.
• Proficiency in Python (preferred), R, and familiarity with high-performance computing environments.

• Familiarity with single-cell transcriptomics or patient-derived datasets.
• Experience working in interdisciplinary teams within biotech or pharma settings.
• Knowledge of machine learning techniques applied to biological data.
• A background in statistical modelling and algorithm development.

• Inclusive leader and team player.
• Clear communicator.
• Driven by impact.
• Humble and hungry to learn.
• Motivated and curious.
• Passionate about making a difference in patients’ lives.

Join us in this exciting role, where your contributions will directly impact advancing our understanding of genetics and disease risk, supporting our mission to deliver transformative medicines to patients. The patient is waiting!

Relation is a committed equal opportunities employer.

RECRUITMENT AGENCIES: Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs.