Research Scientist, Frontier Health, DeepMind
Hybrid (Mountain View, London, Paris)Full-timePosted 3d ago
About the role
Research Scientist role at Google DeepMind focusing on foundational biomedical intelligence, physiological world models, and multi-modal data to advance AI for healthcare-related problems.
Responsibilities
- Conduct fundamental and applied ML research to develop physiological and behavioral world models simulating continuous-time human biology.
- Design novel machine learning architectures (e.g., state-space models, neural dynamical systems) for multi-modal clinical telemetry and longitudinal EHRs (e.g., MIMIC-IV).
- Build and maintain robust evaluation benchmarks (OxyBench) to assess disease trajectory predictions, acute clinical events (e.g., sepsis), and counterfactual treatment simulations.
- Collaborate cross-functionally with ML researchers, software engineers, and external clinical partners across Mountain View, London, and Paris.
- Publish original research in top machine learning conferences and leading medical journals.
Qualifications
- PhD in Computer Science, Machine Learning, Computational Biology, Applied Mathematics, Physics, or equivalent practical experience.
- 2 years of experience (industry or internships) in building world models for adaptive systems, foundation models, continuous dynamical systems, state-space models, and deep generative architectures.
- Experience with model robustness, out-of-distribution generalization, and uncertainty quantification.
- Research experience with first-author publications at machine learning venues or domain journals (NeurIPS, ICML, ICLR, etc.).
Skills
Required:Machine learning researchState-space models / neural dynamical systemsEvaluation benchmarks (OxyBench)Scientific publishing
Nice to have:Python / modern DL frameworks (JAX, PyTorch, TensorFlow)
Benefits
- Learn more about benefits at Google (provided link in description)
Last updated Oct 23, 2026. Interested? Apply on the company site.
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