Health AI Strategy Lead — Equity, Data & Workflows

Google LLC; Greater London; Hybrid; GBP 140,000 - 180,000; Full time

Job summary

Google DeepMind is expanding Gemini’s frontier AI capabilities to health professionals. You will shape foundational data strategy for health workflows, map complex clinical tasks, and curate training data to enable the Gemini AI assistant for health professionals.

You will design tasks and rubrics, QA datasets from vendors and synthetic pipelines, and drive data quality and clinical realism across multiple health domains. Strong collaboration with cross-functional partners is essential.

Qualifications

• Master's degree in a Health-related field (e.g., Medicine, Public Health, Biomedical Informatics), or equivalent practical experience.
• Experience measuring the performance of Large Language Models (LLMs) or generative AI tools and optimizing them for healthcare or clinical use cases.

Responsibilities

• Set the Health data strategy by mapping clinical workflows into a use-case taxonomy, and prioritizing data sourcing pipelines.
• Create high-quality Health data by designing tasks and rubrics, and QA-ing datasets from vendors, customers, and synthetic pipelines for correctness, realism, and coverage.
• Steer data priorities using model failures by reproducing reported losses and stress-testing checkpoints on real workflows to identify missing clinical knowledge and false assumptions.
• Build Health evaluations by assessing industry benchmarks to measure data strategy success, and advise cross-team evaluation efforts on clinical coverage and realism.
• Scale expertise by recruiting and guiding Subject Matter Expert (SMEs), acting as the domain authority to enforce vendor quality, and converting expert contributions into usable training data.

Skills

LLM evaluation

Healthcare AI

Cross-functional collaboration

Education

Master's degree in Health-related field

Job description

Google DeepMind is expanding Gemini’s frontier AI capabilities to health professionals. You will shape foundational data strategy for health workflows, map complex clinical tasks, and curate training data to enable the Gemini AI assistant for health professionals.

You will design tasks and rubrics, QA datasets from vendors and synthetic pipelines, and drive data quality and clinical realism across multiple health domains. Strong collaboration with cross-functional partners is essential.