Senior ML Scientist — Generative Cellular Modelling

United States Digital Space LLC; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Relation is seeking an exceptional Machine Learning Scientist to advance generative and predictive models of cellular behaviour. You will work across biology, computation, and engineering to translate data into insights that drive therapeutic strategies.

Join a team with access to cutting-edge multi-omics datasets and scalable computing. You will design, critique, and validate models, communicating results to diverse stakeholders to accelerate impact in medicines.

Qualifications

• PhD in ML, CS, or statistics required.
• Strong ML fundamentals with experience in modelling high-dimensional data.
• Proficient Python and scalable ML tooling.
• Experience with real-world biological data is a plus.

Responsibilities

• Design generative modelling approaches for biological data.
• Evaluate models for causal coherence and practical utility.
• Collaborate with experimental teams to validate hypotheses.
• Communicate findings to multidisciplinary colleagues.

Skills

PhD in ML/CS/Statistics

Python

Distributed training

High-dimensional data modelling

Education

PhD in machine learning, CS, or statistics

Tools

High-Performance Computing (HPC)

ML tooling

Job description

Relation is seeking an exceptional Machine Learning Scientist to advance generative and predictive models of cellular behaviour. You will work across biology, computation, and engineering to translate data into insights that drive therapeutic strategies.

Join a team with access to cutting-edge multi-omics datasets and scalable computing. You will design, critique, and validate models, communicating results to diverse stakeholders to accelerate impact in medicines.