Health Expert Lead, Gemini Data
Google DeepMind · London, UK · Paris, France · Mountain View, CA, USA
CHECKED 14H AGO
Frontier labonsitelead$207k–$300k
At a glance
Highlights
- Shape Gemini's foundational data strategy for specialized health domains.
- Map complex clinical workflows into use-case taxonomies for AI training.
- Stress-test model checkpoints on real workflows to find knowledge gaps.
What they offer
- 20% bonus target
- equity
- benefits
Ideal candidate
A clinician-turned-technologist who bridges healthcare and AI and cares about making Gemini truly useful for health professionals through high-quality data and rigorous evaluation.
Requirements
- Master's degree in a Health-related field or equivalent practical experience
- Experience measuring LLM or generative AI performance and optimizing for healthcare or clinical use cases
- Experience breaking down clinical workflows into tasks, evaluation rubrics, and quality standards
- Experience prioritizing AI capabilities and collaborating with cross-functional technical partners
- Dual expertise bridging healthcare and AI, e.g. clinical to ML transition or vice versa
- Strong technical capabilities evaluating ML models and applying LLMs to complex health workflows
Lab profile
About Google DeepMind
Google's AI lab building frontier models like Gemini to advance science and general intelligence.
What they build
- Gemini
- Gemma
- AlphaFold
Known for
- Frontier foundation models and GenAI
- Large-scale training with JAX, PyTorch, TensorFlow
- Model evaluation and deployment expertise
- Responsible frontier AI research
Key facts
- Founded in 2010
- Headquartered in London, UK
- Part of Google (Alphabet)