Generative ML Scientist for Cellular Biomedicine

Lindus Health Limited; Greater London; On-site; GBP 70,000 - 120,000; Full time

Job summary

Relation is a TechBio company in London seeking a Machine Learning Scientist to build generative and predictive models of cellular behaviour. Work spans single-cell data, multi-omics, and cutting-edge ML tooling in a matrixed, interdisciplinary team.

You will advance generative modelling to guide experimental design and real-world interventions, collaborating across biology, computation, and engineering with a strong emphasis on causal, mechanistic insights.

Qualifications

• PhD in ML, statistics, computer science, or related quantitative field.
• Deep expertise in generative modelling and probabilistic methods.
• Experience with scalable ML tooling and HPC environments.
• Strong Python proficiency and ability to design experiments.
• Experience with single-cell or perturbational datasets is a plus.

Responsibilities

• Design and implement generative modelling approaches for intervention effects.
• Develop models focusing on generalisation, counterfactuals, and experimental design.
• Collaborate with experimental teams to validate hypotheses iteratively.
• Evaluate models for causal coherence and utility in real-world interventions.
• Communicate findings clearly to diverse colleagues.

Skills

PhD in ML

Generative modelling

Probabilistic modelling

Python

High-performance computing

Experimental design

PyTorch

TensorFlow

Education

PhD in ML or related field

Tools

PyTorch

TensorFlow

Job description

Relation is a TechBio company in London seeking a Machine Learning Scientist to build generative and predictive models of cellular behaviour. Work spans single-cell data, multi-omics, and cutting-edge ML tooling in a matrixed, interdisciplinary team.

You will advance generative modelling to guide experimental design and real-world interventions, collaborating across biology, computation, and engineering with a strong emphasis on causal, mechanistic insights.