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Applied ML Researcher jobs in United States
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Protege · 1 day ago

Applied ML Researcher

Protege is a company focused on solving the challenges of accessing the right training data for AI. The Applied ML Researcher will play a crucial role in matching healthcare datasets to customer needs, ensuring effective data integration and understanding of data structures.
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

Healthcare data expertiseStatistical analysisProgramming in R/Python/SQLLarge-scale healthcare datasetsData optimization techniquesCustomer collaborationTeam playerCreative thinking

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

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Protege is the AI training data platform enabling seamless and compliant data exchange.

Funding

Current Stage
Early Stage
Total Funding
$65M
Key Investors
Andreessen HorowitzFootworkCRV
2026-01-07Series A· $30M
2025-08-13Series A· $25M
2024-09-10Seed· $10M
Company data provided by crunchbase