Machine Learning Researcher
: Job Details :


Machine Learning Researcher

Protege

Job Location : New York,NY, USA

Posted on : 2025-08-09T01:09:56Z

Job Description :

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The Machine Learning 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.
  • 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
  • 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

Bonus if you have these attributes

  • 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
Seniority level
  • Seniority levelEntry level
Employment type
  • Employment typeFull-time
  • IndustriesData Infrastructure and Analytics

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