Genomics ML Scientist: DNA Sequences & Disease Discovery

AI Startups UK; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Relation Therapeutics in London is seeking a Machine Learning Scientist to design and apply advanced machine learning techniques to DNA and genetic data. This role directly contributes to uncovering non-trivial associations between genetic variants and diseases, accelerating therapeutic discovery.

The Rosalind team builds representations of DNA to power target discovery pipelines and publishes at major ML venues.

Qualifications

• PhD in ML, computational biology, or related field.
• Experience applying ML to biological sequences or text.
• Proficiency in Python and at least one ML platform (e.g. PyTorch, TensorFlow).

Responsibilities

• Develop and apply sequence modelling ML techniques to DNA sequences.
• Train, fine-tune and evaluate DNA sequence models for variant interpretation, gene discovery and regulatory modelling.
• Collaborate with computational and experimental scientists to generate and validate ML-driven hypotheses.
• Leverage large-scale external and internal datasets to build models for disease-focused applications.
• Design robust evaluations to measure model quality, biological relevance and translational value.
• Contribute to scientific innovation by applying the latest advances in ML and genomics.

Skills

Python

ML frameworks

Education

PhD in ML/Computational Biology

Job description

Relation Therapeutics in London is seeking a Machine Learning Scientist to design and apply advanced machine learning techniques to DNA and genetic data. This role directly contributes to uncovering non-trivial associations between genetic variants and diseases, accelerating therapeutic discovery.

The Rosalind team builds representations of DNA to power target discovery pipelines and publishes at major ML venues.