Data Scientist - Stats Gen (12-month FTC)

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 an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting‑edge machine‑learning 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.

Opportunity This is a unique opportunity for a data scientist to work on multi‑omics data to drive transformative insights into drug discovery. Over a 12‑month period, you will gain hands‑on experience applying computational methods to real‑world therapeutic discovery challenges. As part of the Cross Indication team, you will work across multiple programme areas, applying computational techniques to multi‑omics data. This team supports target identification and validation efforts, combining biological insights with state‑of‑the‑art statistical and computational tools.

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• 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.
  

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

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• 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.
  

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• Inclusive leader and 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.

Contractor role – This position is offered as a 12‑month contractor role via Hlx Life Sciences’ services (inside IR35), remunerated on a daily rate.

Recruitment agencies: 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.