Genomics ML Scientist: DNA Sequencing & Disease Insights

Relation; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Relation, London, is seeking a Machine Learning Scientist to design and apply advanced ML techniques to DNA and genetic data. You will develop sequence models and collaborate with biology and engineering teams to translate insights into therapeutic discovery.

The role requires a PhD or equivalent experience, expertise in Python and ML frameworks, and a track record applying ML to biological sequences or text. You will join the Rosalind team advancing genomics research.

Qualifications

• PhD in machine learning, computational biology, or a related field, or equivalent industrial experience.
• Demonstrated experience applying machine learning techniques to biological sequences or text.
• Proficiency in Python and at least one ML platform (e.g. PyTorch, TensorFlow).
• Flexibility and the ability to tackle new challenges at the intersection of biology and machine learning.

Responsibilities

• Develop and apply sequence modelling machine learning techniques to DNA sequences
• Train, fine-tune and evaluate DNA sequence models for tasks including 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 and adapt 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 machine learning and genomics.

Skills

ML for biology

DNA sequencing

Python

PyTorch

Transformer models

Education

PhD in ML or computational biology

equivalent industrial experience

Tools

TensorFlow

Job description

Relation, London, is seeking a Machine Learning Scientist to design and apply advanced ML techniques to DNA and genetic data. You will develop sequence models and collaborate with biology and engineering teams to translate insights into therapeutic discovery.

The role requires a PhD or equivalent experience, expertise in Python and ML frameworks, and a track record applying ML to biological sequences or text. You will join the Rosalind team advancing genomics research.