Senior Data Scientist – Statistical Genetics

About the Company

Relation is a sector-defining TechBio company developing transformational medicines. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure.

Responsibilities

• Perform 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 GWAS, fine-mapping, colocalisation, MR, and polygenic risk.
• Develop scalable computational workflows for reproducible genetics analysis.
• Integrate human genetics evidence with multi-omics datasets to uncover disease mechanisms.
• Partner with experimental, translational, and ML teams to validate hypotheses and guide decision-making.
• Communicate results clearly to internal stakeholders and contribute to scientific publications.

Requirements

• PhD in statistical genetics, genomics, computational biology, bioinformatics, or a related quantitative field.
• Deep expertise in statistical genetics and population genomics.
• Experience with large-scale human genetic datasets and post-GWAS analyses.
• High proficiency in Python and R.
• Experience working in high-performance computing environments.
• Ability to drive projects independently from concept through delivery.

Preferred Qualifications

• Post-PhD experience, ideally in industry, biotech, or pharmaceutical environments.
• Familiarity with single-cell transcriptomics or patient-derived datasets.
• Experience working in interdisciplinary teams within biotech or pharma.
• Knowledge of machine learning techniques applied to biological data.
• Understanding of the end-to-end drug discovery process.