Health AI Strategy Lead (Data & Evaluation)

DeepMind Technologies Limited; New York (NY); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

DeepMind Technologies Limited is seeking a Health Expert Lead to shape Gemini's data strategy for health workflows and curate high-quality data to power AI health assistants. You will map clinical tasks, define evaluation rubrics, and work with research teams to prioritize capabilities and data coverage across healthcare domains.

You will influence data quality and model alignment for real-world health applications, collaborating with cross-functional partners to unlock value for health

Qualifications

• Master's degree in a Health-related field 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 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 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 on clinical coverage and realism.
• Scale expertise by recruiting SMEs and converting expert contributions into usable training data.

Skills

Health data strategy

Workflow mapping

Dataset QA

Model evaluation

Cross-functional collaboration

Education

Master's degree in health-related field

Job description

DeepMind Technologies Limited is seeking a Health Expert Lead to shape Gemini's data strategy for health workflows and curate high-quality data to power AI health assistants. You will map clinical tasks, define evaluation rubrics, and work with research teams to prioritize capabilities and data coverage across healthcare domains.

You will influence data quality and model alignment for real-world health applications, collaborating with cross-functional partners to unlock value for health