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 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 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 opportunityThis 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 both Relations 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 initiative.
Your responsibilitiesDevelop 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.
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.
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.
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!
Relation Therapeutics 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.
Top Skills
What We Do
We are an end-to-end biotech developing transformational medicines, with technology at our core. Our ambition is to understand human biology in an unprecedented way; discovering therapies that will treat some of life's most devastating diseases. We leverage single-cell and multi-omics measurements directly from patient tissue, functional assays and machine learning to drive disease understanding — from cause to cure. Medicines born from high-resolution biology, machine learning and clinical insights. Our Lab-in-the-Loop seamlessly integrates single-cell analysis, genomics and machine learning. We have developed powerful technologies which we apply to select druggable targets and develop transformational medicines.
