Senior/Principal Machine Learning Scientist (Generative Modelling)
Core
Design and implement generative modelling approaches to learn intervention effects from diverse biological data, enabling novel therapeutic strategies grounded in generative models.
Role type
Senior/Principal Machine Learning Scientist (Generative Modelling)
Builds
Generative and predictive models of cellular behaviour for drug discovery
Domain
Biotech / Drug Discovery / Single-cell multi-omics
Deliverable
production ML models
Required skills
generative modelling, probabilistic modelling, representation learning, neural network architectures, Python, scalable ML tooling, high-performance computing, experimental design for model evaluation
Preferred skills
single-cell data experience, perturbational datasets, impactful publications, open-source contributions, interdisciplinary collaboration
Technologies
agentic workflows, Python, high-performance computing
Responsibilities
Design generative models for intervention effects, develop models for counterfactual prediction, collaborate with experimental teams to validate hypotheses, evaluate models for causal coherence and mechanistic fidelity
Seniority
Senior/Principal, hands-on IC with strategic impact
