Protege is the trusted source for AI-ready, real world data and expertise at every stage of the AI lifecycle. Backed by a16z and CRV.
About the role
We are building Protege to solve the biggest unmet need in AI — getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data.
What they're looking for
- • Advanced degree (PhD or Master's plus 2+ years industry experience) in machine learning, computer science, biomedical informatics, epidemiology, statistics, or a related quantitative field — or equivalent applied experience
- • Hands-on experience building and evaluating ML or LLM-based systems for extraction, classification, or prediction on real-world data
- • Experience working with healthcare data: claims, EMR/EHR, clinical notes, imaging, registries, or similar. You understand why real-world clinical data is messy and what that means for model training
- • Strong Python and SQL, with the ability to work independently against large datasets
- • Experience designing evaluations — measuring data quality and dataset representativeness
- • Demonstrated ability to work directly with technical stakeholders and translate ambiguous goals into concrete, defensible research plans
More about this role
We are building Protege to solve the biggest unmet need in AI — getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data.
Solving AI’s data problem is a generational opportunity. We’re backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI — and in tech.
We’re a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI.
We are hiring Applied Healthcare Researchers to join a team within DataLab focused entirely on healthcare training data.
Our customers are researchers at the frontier labs and AI startups building specialized healthcare models. They come to us with model-development problems, not dataset specifications. Figuring out which healthcare data actually solves their problem, and proving that it does, is the research question we answer in...
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