Senior ML Scientist: Generative Models for Cellular Biology

Relation; Greater London; Hybrid; GBP 90,000 - 125,000; Full time

Job summary

Relation in London is seeking an exceptional Machine Learning Scientist to advance generative and predictive modelling of cellular behaviour. You will work with multiomics data and state-of-the-art infrastructure to push boundaries in ML for biology.

You will join a matrixed, interdisciplinary environment, collaborating across biology, computation and engineering, translating insights into impactful therapeutics in a fast-paced lab setting.

Qualifications

• PhD in ML, CS, statistics or related quantitative field.

Responsibilities

• Design and implement generative modelling approaches for interventions from biological data.
• Develop models focusing on generalisation, counterfactual prediction and experimental design.
• Collaborate with experimental teams to validate hypotheses via iterative strategies.
• Evaluate models for causal coherence and utility in guiding real-world interventions.
• Communicate findings clearly to multidisciplinary colleagues.

Skills

Python

Distributed training

High-performance computing

Modelling high-dimensional data

From-scratch model implementation

Education

PhD in machine learning, computer science, statistics, or related field

Tools

Scalable ML tooling

Job description

Relation in London is seeking an exceptional Machine Learning Scientist to advance generative and predictive modelling of cellular behaviour. You will work with multiomics data and state-of-the-art infrastructure to push boundaries in ML for biology.

You will join a matrixed, interdisciplinary environment, collaborating across biology, computation and engineering, translating insights into impactful therapeutics in a fast-paced lab setting.