Senior Machine Learning Scientist (Single Cell)

About the role

Relation is seeking a Machine Learning Scientist to build generative and predictive models of cellular behaviour to advance drug discovery. You will work in an interdisciplinary team to leverage single-cell multi-omics and experimental data to understand and control cellular decision-making. This role focuses on pushing the boundaries of generative modelling in complex, high-dimensional biological systems.

Responsibilities

• Design and implement generative modelling approaches that learn intervention effects from diverse biological data, including single-cell perturbation experiments.
• Develop models that go beyond correlation, focusing on generalisation, counterfactual prediction, and experimental design.
• Collaborate with experimental teams to design and validate computational hypotheses via iterative strategies that identify the highest-signal next experiment.
• Evaluate models not just for fit, but for causal coherence, mechanistic fidelity, and utility in guiding real-world interventions.
• Communicate findings clearly to colleagues and stakeholders from different disciplines.

Required skills

• Machine Learning
• Python
• High-performance computing
• Distributed training
• Generative modelling

Nice to have

• Single-cell ML
• Perturb-seq
• CRISPR screens

Qualifications

• PhD in machine learning, computer science, statistics, or a related quantitative field

About the Company

Relation is a sector-defining TechBio company developing transformational medicines with technology at its core. The company leverages single-cell multi-omics, functional assays, and machine learning to understand human biology and discover therapies for devastating diseases.