# Applied Healthcare Researcher

Hiring organization: [Protege](https://career.thegoodapps.co/organizations/protege)

Canonical page: https://career.thegoodapps.co/jobs/71d80dd1-55eb-46d4-bf35-4c7690fdf026

Listed on Protege's own careers site. Applications go to them directly.

- Location: Remote
- Remote: yes

## Summary

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._

## Skills named

Machine Learning, Python, SQL

## 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

Apply on Protege's site: https://jobs.ashbyhq.com/protege/563860f9-285c-4262-a9a3-b2d95538695e/application