Protege

Position Title/Short Description

Full Text of JOE Listing:

Job Title: Applied Researcher (Healthcare)

Location: Remote. Protege teammates today live in places including NYC, LA, and the Bay area.

Company Overview:
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. The company that succeeds will be one of the largest in AI — and in tech.

Role Overview:
The Applied Researcher bridges the gap between our data assets and our customers' needs in our healthcare vertical. They play a key role in ensuring our datasets are well-matched to the AI models our customers are building and well-understood by those customers. This role requires both healthcare data expertise, extensive experience with statistical analysis, and some customer collaboration.

Key Responsibilities:
Conduct feasibility analyses by querying healthcare datasets to assess patient cohort availability based on complex inclusion/exclusion criteria (i.e. procedures, diagnoses, diversity, longitudinal completeness, regulatory constraints).
Collaborate directly with customers to understand their use cases and support effective data integration.
Ensure customers have a clear understanding of the data’s structure, limitations, and strengths.
Identify gaps in our data offerings and provide insights to our partnerships team on the highest-priority data acquisitions.
Evaluate potential data partnerships, ensuring the data is high-quality, well-documented, and commercially viable.

About You:
You are curious, tenacious, and proactive.
You are not bothered by ambiguity but embrace finding patterns in complex environments.
Master or PhD degree with industry experience in a quantitative field such as economics, statistics, biostatistics, bioinformatics, computer science, or data science
Proficiency with programming in R/Python/SQL
Hands-on experience working with large-scale healthcare datasets, including one or more of the following: imaging, EHR, genomics, claims, or pathology data
Team-player, no job is too big or too small
You are an eager scientist, and you are not afraid to learn or face a knowledge pit.
You treat those around you with kindness

Bonus if you have these attributes:
Experience in a customer facing role
Experience with unstructured data (eg: DICOMS, medical notes, pathology slides etc).
Familiarity with third-party data certification or audit processes related to privacy and data quality.
Ability to think creatively and insightfully about large scale data problems