Data Scientist – Single Cell & Spatial

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

• Develop and implement robust computational workflows for the integration and analysis of multi-omics datasets, including single-cell and/or spatial modalities
• Design and apply statistical and computational models for analysing transcriptomics and related omics data
• Use biological insight and data intuition to design meaningful, challenging evaluation tasks for ML models
• Collaborate closely with ML researchers to inform and iterate on model architectures and assumptions
• Partner with experimental scientists to help formulate, test, and validate computational hypotheses
• Communicate findings clearly through internal presentations and contribute to scientific publications

Requirements

• PhD in computational biology, bioinformatics, statistics, physics, mathematics, or a related quantitative discipline
• Strong experience analysing high-dimensional biological data, including transcriptomics and other omics datasets
• Proficiency in Python
• Experience working in high-performance or cloud computing environments

Preferred Qualifications

• Experience with single-cell and/or spatial omics data, including patient-derived datasets
• Familiarity with machine-learning approaches applied to biological data
• Solid grounding in statistical modelling, algorithm development, or data integration methods
• Experience working effectively within highly interdisciplinary teams spanning biology, ML, and software engineering