Relation

TechBio

DataScientistSingleCell&Spatial(12-monthFTC)

London, United Kingdom FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“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.

TechBio
Problems you'll solve

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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