Health AI Data Strategy Lead

Google LLC; New York (NY); On-site; USD 207,000 - 300,000; Full time

Job summary

Google DeepMind seeks a Health Expert Lead to shape Gemini's data strategy for health professionals. You will map complex health workflows, identify areas for model enhancement, and curate high-quality data to power the AI assistant for health care settings.

In this role, you will collaborate with research and clinical partners to prioritize capabilities, design evaluation tasks, and guide data sourcing pipelines across vendors and synthetic data. Equity and safety are core priorities.

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 LLMs or generative AI tools in healthcare or clinical use cases.

Responsibilities

• Set the Health data strategy by mapping clinical workflows into a use-case taxonomy, and partnering with research to prioritize capabilities, data coverage, and 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

Health AI

Education

Master's degree in Health-related field

Job description

Google DeepMind seeks a Health Expert Lead to shape Gemini's data strategy for health professionals. You will map complex health workflows, identify areas for model enhancement, and curate high-quality data to power the AI assistant for health care settings.

In this role, you will collaborate with research and clinical partners to prioritize capabilities, design evaluation tasks, and guide data sourcing pipelines across vendors and synthetic data. Equity and safety are core priorities.