Computational Genomics Data Scientist - 12-Month FTC

relationrx; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Relation in London is seeking a Data Scientist to bridge computational genomics and ML at scale. You will shape our computational genomics efforts to accelerate target identification across diverse therapeutic areas, leveraging large-scale human genetics resources — genetic discovery, biobanks, OMICs, single-cell atlases and other internal datasets— to gain actionable insight.

By building, refining and deploying cutting-edge ML-focused methods you will inform robust functional prioritisation

Qualifications

• PhD in statistical genetics, genomics, computational biology, machine learning, bioinformatics, or a related quantitative field.
• Knowledge of machine learning techniques applied to biological data.
• Experience in quantitative genomics, statistics, bioinformatics, or multi-omics data analysis.

Responsibilities

• Apply, build, refine and integrate statistical models to gain insight from genomics, transcriptomics and other OMICs datasets and support target discovery and validation.
• Work cross-functionally at the ML-genetics interface to identify opportunities, solve problems and implement solutions for shared insight
• Integrate human genetics evidence with OMICs datasets to uncover disease mechanisms and prioritise actionable targets.
• Develop scalable computational workflows for reproducible analysis within Relation’s existing stack
• 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.

Skills

Genomics

Machine Learning

Statistical Genetics

Data Analysis

Education

PhD in related field

Tools

Python

R

Git

HPC

Job description

Relation in London is seeking a Data Scientist to bridge computational genomics and ML at scale. You will shape our computational genomics efforts to accelerate target identification across diverse therapeutic areas, leveraging large-scale human genetics resources — genetic discovery, biobanks, OMICs, single-cell atlases and other internal datasets— to gain actionable insight.

By building, refining and deploying cutting-edge ML-focused methods you will inform robust functional prioritisation