Senior Machine Learning Scientist (Generative Modelling)
relationrx· Machine Learning
LondonFull-timePosted 5mo ago
About the role
Senior ML Scientist focused on building generative and predictive models of cellular behaviour, enabling novel therapeutic strategies through generative modelling in a BioTech environment.
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 not just for fit, but for causal coherence, mechanistic fidelity, and utility in guiding real-world interventions.
- Communicate findings clearly to colleagues and stakeholders from different disciplines.
Qualifications
- PhD in ML, statistics, computer science, or a related quantitative field.
- Deep expertise in generative modelling.
- Strong foundations in probabilistic modelling, representation learning, or neural network architectures for structured or sequential data.
- Excellence in Python and familiarity with scalable ML tooling and high-performance computing.
- A disciplined approach to model evaluation, with experience designing experiments that go beyond standard benchmarks to 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.
Skills
Required:Generative modellingProbabilistic modellingPython
Last updated Sep 16, 2026. Interested? Apply on the company site.
About relationrx
Discovering biology’s relationships, curing disease.
Discovering biology’s relationships, curing disease.
biotechmedicinebiologydiseasegenomicstherapy
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