Senior Data Scientist - Computational Biology

About the Company

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

Responsibilities

• Analyse and interpret single-cell, spatial, and other multi-omics datasets to uncover biological mechanisms
• Develop and apply statistical and computational methods for transcriptomics and related omics data
• Use domain expertise to design rigorous evaluation tasks that test, challenge, and refine ML models
• Collaborate closely with ML scientists to inform model assumptions, features, and interpretation
• Work with experimental teams to help design experiments and validate computational hypotheses
• Communicate insights, results, and methodologies to internal stakeholders and contribute to scientific publications

Requirements

• PhD in computational biology, bioinformatics, statistics, physics, mathematics, or a related quantitative field
• Strong experience working with high-dimensional biological data (transcriptomics and other omics modalities)
• Proficiency in Python with experience in scientific computing and data analysis
• Solid understanding of statistical modelling and quantitative methods applied to biological data
• Experience with Bayesian models

Preferred Qualifications

• Hands-on experience with single-cell and/or spatial omics data, including patient-derived samples
• Familiarity with machine learning approaches used in biological or biomedical research
• Experience working in interdisciplinary teams spanning biology, data science, and ML
• Exposure to scalable computing environments