Senior Machine Learning Scientist – Generative Modelling

About the role

RelationRx is a TechBio company developing transformational medicines by combining single‑cell multi‑omics, functional assays and machine learning. The Senior Machine Learning Scientist will lead the creation of generative and predictive models of cellular behaviour to drive novel therapeutic strategies.

Key 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 for causal coherence, mechanistic fidelity, and utility in guiding real‑world interventions.

Required profile

• PhD in machine learning, statistics, computer science, or a related quantitative field.
• Deep expertise in generative modelling and strong foundations in probabilistic modelling, representation learning, or neural network architectures for structured or sequential data.
• Disciplined approach to model evaluation, with experience designing experiments that test real‑world utility.
• Willingness and ability to engage deeply with biological data; prior experience with single‑cell or perturbational datasets is a strong plus.

Required skills

• Python
• Scalable ML tooling and high‑performance computing