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Job summary
An oncology technology company in New York is seeking a talented professional to build and deploy AI agent pipelines that extract structured variables from unstructured patient documents. The role requires strong technical skills, including Python and ML/AI system experience, as well as a willingness to deepen knowledge in oncology data. This position involves coordinating with clinical teams, delivering on tight timelines, and implementing changes to enhance extraction accuracy. The ideal candidate should also be comfortable engaging in customer-facing communications.
Qualifications
2+ years building ML/AI systems in production.
Experience with AI agents or multi-step LLM pipelines.
Strong Python skills for pipeline code and data processing.
Responsibilities
Design and build extraction pipelines for complex patient documents.
Run precision/recall analysis and improve extraction accuracy.
Coordinate with clinical teams to ensure data quality.
Skills
Building ML/AI systems in production
Strong Python programming
Prompt engineering
Evaluation frameworks for LLM-based extraction
Oncology domain expertise
Job description
An oncology technology company in New York is seeking a talented professional to build and deploy AI agent pipelines that extract structured variables from unstructured patient documents. The role requires strong technical skills, including Python and ML/AI system experience, as well as a willingness to deepen knowledge in oncology data. This position involves coordinating with clinical teams, delivering on tight timelines, and implementing changes to enhance extraction accuracy. The ideal candidate should also be comfortable engaging in customer-facing communications.