Senior ML Scientist Generative Modelling for Cells

Relationrx; Greater London; On-site; GBP 90,000 - 135,000; Full time

Job summary

Relation in London is seeking a Machine Learning Scientist to build generative and predictive models of cellular behaviour, advancing transformational medicines through interdisciplinary collaboration with biology, computation, and engineering.

You will design generative modelling approaches, evaluate causal coherence, and work with experimental teams to validate hypotheses, contributing to cutting-edge ML in biotech and shaping the next generation of therapies.

Qualifications

• PhD in ML, statistics, computer science, or related quantitative field.
• Deep expertise in generative modelling.
• Strong foundations in probabilistic modelling, representation learning, or neural network architectures.

Responsibilities

• Design and implement generative modelling approaches for learning intervention effects from diverse biological data.
• Develop models that generalise and support experimental design.
• Collaborate with experimental teams to translate computational hypotheses into tests.
• Evaluate models for causal coherence and utility in real-world interventions.
• Communicate findings clearly to colleagues across disciplines.

Skills

Generative modelling

Probabilistic modelling

Representation learning

Neural networks

Python

High-performance computing

Experiment design

Biological data understanding

Education

PhD in ML or related quantitative field

Tools

Python

ML tooling

HPC

Job description

Relation in London is seeking a Machine Learning Scientist to build generative and predictive models of cellular behaviour, advancing transformational medicines through interdisciplinary collaboration with biology, computation, and engineering.

You will design generative modelling approaches, evaluate causal coherence, and work with experimental teams to validate hypotheses, contributing to cutting-edge ML in biotech and shaping the next generation of therapies.