Data Scientist, Computational Genomics & ML at Scale

Relation; Greater London; On-site; GBP 85,000 - 125,000; Full time

Job summary

Relation is seeking a Data Scientist to bridge computational genomics and machine learning at scale. You will shape computational genomics efforts to accelerate target identification and validation using large-scale genetics resources and OMICs datasets.

The role focuses on building ML-focused methods to inform functional prioritisation, mechanistic hypotheses, and strategic decisions across the organisation. You will collaborate with ML and experimental teams in a matrixed environment.

Qualifications

• PhD in statistical genetics, genomics, computational biology, machine learning or a related quantitative field.
• Experience applying ML techniques to biological data.
• Experience in quantitative genomics, statistics, bioinformatics, or multi-omics data analysis.
• Proficiency in Python (preferred) or R, and familiarity with HPC environments and Git.

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 (e.g. transcriptomics, proteomics) 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

Python

R

Machine Learning

Genomics

Statistics

Bioinformatics

Git

HPC environments

Education

PhD in statistical genetics, genomics, computational biology, machine learning, bioinformatics

Tools

Git

High-performance computing

Version control

Job description

Relation is seeking a Data Scientist to bridge computational genomics and machine learning at scale. You will shape computational genomics efforts to accelerate target identification and validation using large-scale genetics resources and OMICs datasets.

The role focuses on building ML-focused methods to inform functional prioritisation, mechanistic hypotheses, and strategic decisions across the organisation. You will collaborate with ML and experimental teams in a matrixed environment.