Google DeepMind is seeking applications for the position of Research Scientist, Frontier Health, based in Mountain View, California, USA. This opportunity is designed for highly qualified researchers with expertise in machine learning, artificial intelligence, computational biology and related disciplines who are interested in advancing the future of healthcare through foundational AI research.
The role sits within DeepMind’s Frontier Health initiative, a pioneering effort focused on developing biomedical intelligence systems capable of transforming the diagnosis, monitoring and treatment of complex diseases. Successful candidates will contribute to cutting-edge research that combines machine learning, healthcare data and advanced computational models to better understand human biology and improve health outcomes.
About the Frontier Health Team
Frontier Health is working to build foundational biomedical intelligence capable of modelling human health and disease progression at an unprecedented scale. The team develops physiological world models and agentic decision systems that can simulate disease evolution and treatment responses across multiple medical domains.
Research efforts focus on critical healthcare areas including:
• Critical care medicine
• Oncology and cancer treatment
• Metabolic health
• Disease progression modelling
• Clinical decision support systems
• Healthcare artificial intelligence
• Multi-modal biomedical data analysis
By integrating electronic health records (EHRs), physiological telemetry, reinforcement learning and advanced machine learning techniques, the team aims to move healthcare beyond reactive treatment approaches toward proactive intervention and personalized care.
About the Role
The selected Research Scientist will conduct both fundamental and applied machine learning research to advance foundational models of human biology. The position involves addressing challenging scientific problems related to continuous dynamical systems, disease progression, physiological modelling and counterfactual reasoning.
Researchers will work closely with interdisciplinary teams of machine learning experts, software engineers and clinical collaborators to develop innovative AI systems capable of understanding complex biological processes.
The role also offers opportunities to publish research findings in leading machine learning conferences and top-tier medical journals, contributing to both scientific discovery and real-world healthcare innovation.
Key Responsibilities
The successful candidate will be expected to:
• Conduct advanced machine learning research on physiological and behavioural world models
• Develop systems that simulate continuous-time human biology
• Design novel machine learning architectures, including state-space models and neural dynamical systems
• Analyse multi-modal clinical telemetry and longitudinal electronic health record datasets
• Build and maintain evaluation benchmarks for disease trajectory prediction and treatment simulations
• Collaborate with researchers and engineers across Google DeepMind locations in Mountain View, London and Paris
• Publish original research in leading AI and healthcare journals and conferences
• Contribute to the development of next-generation biomedical intelligence systems
Eligibility Requirements
Applicants must meet the following minimum qualifications:
• PhD in Computer Science, Machine Learning, Computational Biology, Applied Mathematics, Physics or a related field, or equivalent practical experience
• At least two years of experience through industry roles, internships or research positions
• Experience building world models, foundation models, state-space models, continuous dynamical systems or deep generative architectures
• Knowledge of model robustness, uncertainty quantification and out-of-distribution generalisation
• Strong publication record, including first-author papers at recognised machine learning conferences or scientific journals such as NeurIPS, ICML or ICLR
Preferred Qualifications
Google DeepMind is particularly interested in candidates who possess:
• Experience learning system dynamics from partially observable environments
• Expertise working with irregularly sampled and incomplete datasets
• Experience with latent state estimation methods
• Research experience involving biomedical and healthcare datasets
• Knowledge of longitudinal electronic health records such as MIMIC-IV
• Strong programming skills in Python
• Experience using JAX, PyTorch or TensorFlow
• Ability to collaborate effectively within interdisciplinary research environments
• Passion for advancing artificial intelligence for societal benefit
Compensation and Benefits
Google offers a highly competitive compensation package for this position.
The salary range for the United States is:
USD 174,000 – USD 252,000 annually
In addition to base salary, eligible employees may receive:
• 15% target performance bonus
• Equity awards
• Comprehensive employee benefits
• Professional development opportunities
• Access to world-class research infrastructure and resources
Compensation is determined based on experience, skills, education and other job-related factors.
Why This Opportunity Stands Out
This position offers researchers the opportunity to work at the intersection of artificial intelligence and healthcare while tackling some of the world’s most important scientific challenges.
Researchers will contribute to technologies that could fundamentally change how diseases are understood, predicted and treated. The role combines academic-level scientific research with the resources, scale and impact of one of the world’s leading AI organizations.
For professionals interested in machine learning, computational biology, biomedical AI, healthcare analytics and scientific discovery, this position provides access to a collaborative global research environment dedicated to advancing responsible and impactful artificial intelligence.
How to Apply
Qualified candidates who meet the eligibility requirements are encouraged to submit their applications through Google’s official careers platform.
The position represents a unique opportunity to join Google DeepMind’s mission of developing transformative AI technologies that accelerate scientific discovery and improve healthcare outcomes for people around the world.
