Senior Data Scientist – Computational Genomics & DNA Modelling

About the role

Relation is a TechBio company developing transformational medicines by integrating single‑cell multi‑omics, functional assays and machine learning. This senior position focuses on DNA sequence modelling, statistical machine learning and functional genomics to support target discovery and mechanism elucidation.

Key responsibilities

• Develop and implement machine‑learning models for DNA sequence, regulatory elements and genetic variation in disease‑relevant contexts.
• Build, evaluate and benchmark models for sequence‑to‑function tasks such as variant‑effect prediction and regulatory activity modelling.
• Integrate sequence‑derived representations with transcriptomic, epigenomic and perturbational datasets to uncover disease mechanisms.
• Partner with experimental and ML researchers to validate hypotheses, interpret results and guide downstream studies.
• Communicate findings to internal stakeholders and contribute to scientific publications.

Required profile

• PhD in computational biology, machine learning, statistics, genomics, bioinformatics or a related quantitative discipline.
• Post‑PhD experience, preferably in industry, biotech or pharmaceutical settings.
• Experience with DNA language models, genomic foundation models or transformer‑based sequence models.
• Strong understanding of statistical machine learning, probabilistic modelling and statistical genetics methods.
• High proficiency in Python and R, and experience working in high‑performance computing environments.

Required skills

• Python
• R
• High‑performance computing
• DNA language models / transformer‑based sequence models
• Statistical machine learning
• Probabilistic modelling
• Statistical genetics methods (e.g., fine‑mapping, colocalisation)
• Genomic foundation models