Research Scientist, Frontier Health at Google DeepMind | Apply Now
A rare chance has emerged for aspiring research scientists at DeepMind in Mountain View, CA. This Google Research Scientist Job is suited to candidates with a PhD and relevant experience in machine learning and computational biology who want to contribute to groundbreaking biomedical intelligence.
- Position: Research Scientist
- Location: Mountain View, CA, USA
- Salary: $174,000 – $252,000 (USD) + 15% bonus target + equity + benefits
About the Company
DeepMind is a pioneering artificial intelligence lab focused on advancing AI development to address complex global challenges. The organization is committed to using its technologies for public benefit and scientific discovery while ensuring safety and ethics remain a top priority. With interdisciplinary teams, DeepMind emphasizes collaboration to foster innovation and achieve exceptional results across various domains.
Google Research Scientist Job Description
As a Research Scientist at DeepMind, individuals will set up large-scale tests and deploy promising ideas quickly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. Responsibilities include conducting fundamental and applied ML research, designing novel machine learning architectures, and collaborating cross-functionally with various teams. The role also involves contributing to the wider research community by sharing and publishing findings.
Frontier Health is focused on developing foundational biomedical intelligence to transform outcomes for complex systemic diseases, utilizing advanced methodologies to shift healthcare from reactive observation to proactive intervention. The Google Research Scientist Job supports this work through advanced machine learning research.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Minimum Qualifications for Google Research Scientist Job
- PhD in Machine Learning, Computational Biology, 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.).
Preferred
Preferred Qualifications for Google Research Scientist Job include:
- Strong experience learning underlying system dynamics from partially observable environments, managing irregular sampling, missing modalities, and latent state estimation.
- Experience applying these methodologies to biomedical domains, framing multi-modal healthcare data, longitudinal EHRs (e.g., MIMIC-IV), and physiological telemetry as complex adaptive systems.
- Proficiency in Python and modern deep learning frameworks (JAX, PyTorch, or TensorFlow).
- Strong collaborative skills for working in interdisciplinary teams alongside clinical partners.
- Passion for AI technology and all of its possibilities.
Key Responsibilities
Key responsibilities of Google Research Scientist Job include:
- 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.
This Google Research Scientist Job at DeepMind presents a significant chance for qualified candidates to advance their careers in AI and biomedical research. Interested individuals are encouraged to apply before the deadline to be part of a transformative journey in healthcare innovation.
