Senior Data Scientist, Computational Genomics/DNA Modelling

About the Company

Relation is a sector-defining TechBio company developing transformational medicines. We leverage single-cell multi-omics, functional assays, and machine learning to understand human biology and discover therapies for devastating diseases.

Responsibilities

• Develop and implement machine learning models for DNA sequence, regulatory elements, and genetic variation.
• Build, evaluate, and benchmark models for sequence-to-function tasks like variant effect prediction and regulatory activity prediction.
• Integrate sequence-derived representations with transcriptomic, epigenomic, and perturbational datasets.
• Partner with experimental and machine learning researchers to validate hypotheses and guide downstream studies.
• Communicate findings to internal stakeholders and contribute to scientific publications.

Requirements

• PhD in computational biology, machine learning, statistics, genomics, bioinformatics, or a related quantitative discipline.
• Post-PhD experience, ideally within industry, biotech, or pharmaceutical environments.
• Experience with DNA language models, genomic foundation models, or transformer-based sequence models.
• Understanding of statistical machine learning and probabilistic modelling.
• Knowledge of statistical genetics methods such as fine-mapping or colocalisation.
• High proficiency in Python and R.
• Experience working in high-performance computing environments.
• Ability to drive projects independently from concept to delivery.

Preferred Qualifications

• Familiarity with single-cell transcriptomics or patient-derived datasets.
• Experience integrating machine learning models with genomics or perturbation datasets.
• Familiarity with 3D genome or chromatin interaction data (e.g., Hi-C, Capture-C).