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.
This is a unique opportunity for a senior data scientist to work on DNA sequence modelling and functional genomics in support of target discovery and mechanism elucidation. You will develop and apply computational approaches that connect genetic variation and regulatory DNA sequence to downstream molecular phenotypes, cellular programmes, and disease biology. Embedded within the Rosalind team you will build and evaluate models that link sequence to function - including variant effect prediction and regulatory activity modelling.
Develop and implement computational methods to model DNA sequence, regulatory elements, and genetic variation in disease-relevant contexts.
Build and evaluate models for sequence-to-function tasks such as variant effect prediction, regulatory activity prediction, and the interpretation of non-coding disease signals.
Integrate DNA-derived features with transcriptomic, epigenomic, and perturbational datasets to uncover disease mechanisms and support target prioritisation.
Partner closely with experimental and machine learning researchers to validate hypotheses, interpret results, and guide downstream studies.
Communicate findings clearly to internal stakeholders, including presenting methods, results, and recommendations.
Contribute to publications, scientific communications, and project documentation, supporting scientific excellence and external visibility.
PhD in genomics, computational biology, bioinformatics, or a related quantitative discipline.
Post-PhD experience, ideally including time in an industry, biotech, or pharmaceutical environment.
Experience with DNA language models, genomic foundation models, or transformer-based sequence models.
Knowledge of statistical fine-mapping, colocalisation, eQTL analysis, and linking genetic signals to effector genes.
High proficiency in Python (preferred) and R, with experience working in high-performance computing environments.
Ability to operate independently, driving projects from concept through delivery.
Familiarity with single-cell transcriptomics or patient-derived datasets.
Experience working in interdisciplinary teams within biotech or pharma settings.
A background in statistical modelling and algorithm development.
Experience integrating sequence models with single-cell and perturbation datasets.
Familiarity with 3D genome / chromatin interaction data where relevant (Hi-C, Capture-C, etc.).
Team player.
Clear communicator.
Driven by impact.
Humble and hungry to learn.
Motivated and curious.
Impact-driven and passionate about improving patient outcomes.
Comfortable working in dynamic, fast-paced environments.
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. Together, we’re not just conducting research—we’re setting new standards in the fields of machine learning and genetics. The patient is waiting!
Relation is a committed equal opportunities employer.
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.
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