Machine Learning Scientist

About the Company

Relation is an end-to-end biotech company developing transformational medicines by leveraging single-cell multi-omics, functional assays, and machine learning. Based in London, the company collaborates with partners like GSK to tackle diseases such as fibrosis and osteoarthritis through cutting-edge TechBio innovation.

Responsibilities

• Develop and apply sequence modelling machine learning 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 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

Requirements

• 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
• Proficiency in at least one ML platform such as PyTorch or TensorFlow
• Ability to tackle challenges at the intersection of biology and machine learning

Preferred Qualifications

• Experience applying machine learning to biological sequences, including DNA or proteins
• Strong understanding of transformers and their applications in biomedical research
• Knowledge of lab-in-the-loop frameworks and integration of ML techniques with experimental data