Relation
TechBio
DataScientist–SingleCell&Spatial(12-monthFTC)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Scientist – Single Cell & Spatial (12-month FTC) at Relation. Skills: multi-omics data, Python, statistical modelling, machine learning. Develop computational workflows. Integrate multi-omics datasets”
What You'll Achieve.
drive disease understanding; discover therapies; drive target discovery; drive target validation; deliver meaningful impact
Industry & Context.
solve complex problems
What They're Looking For.
Must Have
Python, high-dimensional biological data analysis, transcriptomics, omics datasets
Nice to Have
single-cell omics data, spatial omics data, patient-derived datasets, machine-learning approaches, biological data, statistical modelling, algorithm development, data integration methods, interdisciplinary teams, biology, ML, software engineering
What You'll Do.
Develop computational workflows
Integrate multi-omics datasets
Analyze transcriptomics data
Design ML evaluation tasks
Collaborate with ML researchers
Partner with experimental scientists
Formulate computational hypotheses
Test computational hypotheses
Validate computational hypotheses
Contribute to publications
How You'll Work.
Team & Collaboration
Work in interdisciplinary teams; Collaborate with ML researchers; Partner with experimental scientists; Work in a matrixed environment; Contribute across teams; Build working relationships; Contribute to shared goals
Communication Scope
Communicate findings clearly; Internal presentations; Scientific publications; Communicate openly and directly; Handle challenging conversations
Full Job Description
ABOUT RELATION Relation is a sector defining TechBio 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 from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the-art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients. 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 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. DAY TO DAY, YOU WILL - Develop and implement robust computational workflows for the integration and
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