Protege · 7 hours ago
Applied ML Researcher
United States
Full-time
Remote
Mid LevelProtege is building a platform to solve the biggest unmet need in AI by facilitating the exchange of AI training data. The Applied ML Researcher will bridge the gap between data assets and customer needs in the healthcare vertical, ensuring datasets are aligned with AI models and well-understood by clients.
AnalyticsArtificial Intelligence (AI)Data Management
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
Qualification
Required
Undergraduate or MS/BS + industry experience in a quantitative field such as mathematics, 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
You are curious, tenacious, and proactive
You are not bothered by ambiguity but embrace finding patterns in complex environments
Team-player, no job is too big or too small
You are an eager researcher and you are not afraid to learn or face a knowledge pit
You treat those around you with kindness
Preferred
Experience in a customer facing role
Experience with data optimization techniques such as model-based filtering, multimodal data integration, heuristic filtering, and/or target distribution matching
Experience applying machine learning or logistic regression techniques to healthcare data
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
Company
Protege
Protege is the AI training data platform enabling seamless and compliant data exchange.
Founded in 2024
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$65MKey Investors
Andreessen HorowitzFootworkCRV
2026-01-07Series A· $30M
2025-08-13Series A· $25M
2024-09-10Seed· $10M
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