Relation

5 months ago

Principal/Senior Data Scientist – Statistical Genetics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Senior-level data science role leading statistical genetics and population genomics analyses to accelerate target discovery and validation. You will work with large-scale genetic datasets, develop scalable workflows, and integrate multi-omics data while collaborating with ML and experimental teams to translate findings into actionable drug discovery insights.

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Director level

Key Responsibilities

•Lead statistical and population genomics analyses using large-scale datasets to support target discovery and validation.
•Design and implement statistical genetics methodologies for target prioritisation, including approaches leveraging GWAS, fine-mapping, colocalisation, polygenic risk, rare variant analyses, and functional annotation.
•Develop scalable computational workflows for reproducible genetics analysis, enabling robust and efficient delivery across multiple programmes.
•Integrate human genetics evidence with multi-omics datasets (e.g. transcriptomics, proteomics) to uncover disease mechanisms and prioritise actionable targets.
•Partner closely with experimental, translational, and ML teams to validate hypotheses, interpret findings, and guide downstream decision-making.

Key Requirements

•PhD in statistical genetics, genomics, computational biology, bioinformatics, or a related quantitative field.
•Post-PhD experience, ideally including time in an industry, biotech, or pharmaceutical environment.
•Deep expertise in statistical genetics and population genomics, including experience with large-scale human genetic datasets and post-GWAS analyses.
•High proficiency in Python (preferred) and R, with experience working in high-performance computing environments.
•Ability to operate independently at a senior level, providing technical leadership and driving projects from concept through delivery.

Education:PhD / Doctorate

Skills:CommunicationLeadershipCollaborationProblem-solvingAdaptability

Tech Stack:PythonRHigh-performance computingGWASFine-mappingColocalisationPolygenic riskRare variant analysesTranscriptomicsProteomicsSingle-cellMachine learning

Company Brief

Relation

Relation (Relation Therapeutics) is a UK-based, technology-enabled biopharmaceutical company that combines single-cell multi-omics, patient-derived tissue, functional assays and machine learning to discover and develop novel therapeutics across immunology, metabolic and bone diseases.

Industry: Biotech

Company Size: Medium (51 to 250 employees)

Growth: Early Stage Startup

Valuation: USD 100M to 250M

Funding: Seed

Headquarters: London, United Kingdom

Founded: 2019

Glassdoor: 3.8

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

Relation

5 months ago

Principal/Senior Data Scientist – Statistical Genetics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Director level

Key Responsibilities

•Lead statistical and population genomics analyses using large-scale datasets to support target discovery and validation.
•Design and implement statistical genetics methodologies for target prioritisation, including approaches leveraging GWAS, fine-mapping, colocalisation, polygenic risk, rare variant analyses, and functional annotation.
•Develop scalable computational workflows for reproducible genetics analysis, enabling robust and efficient delivery across multiple programmes.
•Integrate human genetics evidence with multi-omics datasets (e.g. transcriptomics, proteomics) to uncover disease mechanisms and prioritise actionable targets.
•Partner closely with experimental, translational, and ML teams to validate hypotheses, interpret findings, and guide downstream decision-making.

Key Requirements

•PhD in statistical genetics, genomics, computational biology, bioinformatics, or a related quantitative field.
•Post-PhD experience, ideally including time in an industry, biotech, or pharmaceutical environment.
•Deep expertise in statistical genetics and population genomics, including experience with large-scale human genetic datasets and post-GWAS analyses.
•High proficiency in Python (preferred) and R, with experience working in high-performance computing environments.
•Ability to operate independently at a senior level, providing technical leadership and driving projects from concept through delivery.

Education:PhD / Doctorate

Skills:CommunicationLeadershipCollaborationProblem-solvingAdaptability

Tech Stack:PythonRHigh-performance computingGWASFine-mappingColocalisationPolygenic riskRare variant analysesTranscriptomicsProteomicsSingle-cellMachine learning

Company Brief

Relation

Industry: Biotech

Company Size: Medium (51 to 250 employees)

Growth: Early Stage Startup

Valuation: USD 100M to 250M

Funding: Seed

Headquarters: London, United Kingdom

Founded: 2019

Glassdoor: 3.8

Website LinkedIn Glassdoor