Data Scientist – Computational Genomics

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

• Apply, build, refine and integrate statistical models to gain insight from genomics, transcriptomics and other OMICs datasets
• Work cross-functionally at the ML-genetics interface to identify opportunities and implement solutions
• Integrate human genetics evidence with OMICs datasets to uncover disease mechanisms and prioritise actionable targets
• Develop scalable computational workflows for reproducible analysis
• Partner with experimental and machine learning researchers to validate hypotheses and guide downstream studies
• Communicate findings clearly to internal stakeholders and contribute to scientific publications

Requirements

• 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
• Familiarity with high-performance computing environments and version control (e.g. git)

Preferred Qualifications

• Familiarity with single-cell transcriptomics or patient-derived datasets
• Experience working in interdisciplinary/matrixed teams within biotech or pharma settings
• Understanding of the end-to-end drug discovery process