Computational Genomics Data Scientist (12-month FTC)

Relation; Greater London; On-site; GBP 70,000 - 120,000; Full time

Job summary

Relation in London is seeking a Data Scientist to bridge computational genomics and machine learning at scale. You will shape our genomics-guided ML efforts to accelerate target identification and validation using large-scale human genetics resources and multi-omics datasets.

You will build, refine and deploy cutting-edge ML methods, support functional prioritisation, and influence strategic decisions across the organisation.

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.
• Proficiency in Python (preferred), or R, and familiarity with HPC environments, collaborative coding and version control (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

Genomics

Machine learning

Python

Data analysis

Education

PhD in statistical genetics or related field

Tools

Git

High-Performance Computing

Job description

Relation in London is seeking a Data Scientist to bridge computational genomics and machine learning at scale. You will shape our genomics-guided ML efforts to accelerate target identification and validation using large-scale human genetics resources and multi-omics datasets.

You will build, refine and deploy cutting-edge ML methods, support functional prioritisation, and influence strategic decisions across the organisation.