Senior ML Scientist: Generative Models for Cells

Lindus Health; Greater London; On-site; GBP 85,000 - 110,000; Full time

Job summary

Relation in London is seeking a Machine Learning Scientist to develop generative and predictive models of cellular behaviour. You will work with cutting-edge multiomic data and collaborate with biology, computation, and engineering teams to translate insight into impact.

You will design and implement generative modelling approaches, push beyond correlations, and evaluate models for causal coherence and real-world utility.

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 for structured or sequential data.

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.

Skills

Generative modelling

Probabilistic modelling

Representation learning

Neural networks

Python

High-performance computing

Education

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

Tools

PyTorch

TensorFlow

Job description

Relation in London is seeking a Machine Learning Scientist to develop generative and predictive models of cellular behaviour. You will work with cutting-edge multiomic data and collaborate with biology, computation, and engineering teams to translate insight into impact.

You will design and implement generative modelling approaches, push beyond correlations, and evaluate models for causal coherence and real-world utility.