Senior ML Scientist: Generative Models for Cellular Biology

Relation Therapeutics; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Relation Therapeutics in London is seeking a Machine Learning Scientist to build generative and predictive models of cellular behaviour, guiding new therapeutic strategies grounded in data-driven insights.

You will access cutting-edge multi-omic and interventional datasets, collaborate with biology, computation, and engineering teams, and push ML tooling to accelerate research iteration and experiments.

Qualifications

• PhD in ML, statistics, computer science, or a related quantitative field.
• Deep expertise in generative modelling.
• Strong foundations in probabilistic modelling, representation learning, or neural network architectures for structured or sequential data.
• Excellence in Python and familiarity with scalable ML tooling and high-performance computing.
• A disciplined approach to model evaluation, with experience designing experiments that go beyond standard benchmarks to test real-world utility.
• Willingness and ability to engage deeply with biological data; prior experience with single-cell or perturbational datasets is a strong plus.

Responsibilities

• Design and implement generative modelling approaches for biological data.
• 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 across disciplinary boundaries, and contribute to high-impact publications.

Skills

Generative modelling

Probabilistic modelling

Representation learning

Python

Experimental design

Biological data understanding

Education

PhD in ML, statistics, computer science, or related quantitative field

Tools

Python

ML tooling

High-performance computing

Job description

Relation Therapeutics in London is seeking a Machine Learning Scientist to build generative and predictive models of cellular behaviour, guiding new therapeutic strategies grounded in data-driven insights.

You will access cutting-edge multi-omic and interventional datasets, collaborate with biology, computation, and engineering teams, and push ML tooling to accelerate research iteration and experiments.