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Listed on Protege’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role partners with AI researchers at frontier labs to identify and validate healthcare datasets that can solve their model-development problems, combining customer-facing research with hands-on data feasibility analysis. It suits someone with advanced training in a quantitative field and real-world experience working with messy clinical data, who enjoys moving fast on ambiguous problems while maintaining research rigor.
Our summary, not Protege’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Advanced degree (PhD or Master's with 2+ years industry experience) in machine learning, computer science, biomedical informatics, epidemiology, statistics, or related quantitative field, or equivalent applied experience
- Hands-on experience building and evaluating ML or LLM systems for extraction, classification, or prediction on real-world data
- Experience with healthcare data such as claims, EMR/EHR, clinical notes, imaging, or registries
- Strong Python and SQL skills with ability to work independently on large datasets
- Experience designing and running evaluations to measure data quality and dataset representativeness
- Ability to work directly with technical stakeholders and translate ambiguous goals into research plans
- Willingness to operate on customer timelines without compromising research standards
Nice to have
- Energized by working directly with customers and other researchers as peers
- Ability to identify where successful one-off approaches can become repeatable workflows
- Experience thinking about leverage and building reusable solutions rather than one-offs