Forward Deployed ML Engineer - HealthTech / Series A

division50 • New York, NY

4d

About The Position

We are building the agentic AI layer for oncology EHRs. Cancer hospitals spend billions on highly trained staff manually reading unstructured patient records - pathology reports, clinical notes, genomic panels - to power workflows like trial matching, registry curation, visit prep, and quality reporting. Our platform replaces that manual work with task-driven AI agents that sit inside the EMR and process records at scale, in real time. Our platform is trusted by 4 of the top 10 Best Hospitals for Cancer by U.S. News and several of the largest community practices. We have grown 10x in the last year and process millions of oncology medical documents monthly.

Requirements

• 2+ years building ML/AI in production
• Built AI agents or multi-step LLM pipelines
• Strong Python
• Prompt engineering, fine-tuning, RAG, eval design
• Evaluation frameworks for LLM document extraction
• Willingness to become oncology-domain expert
• Customer-facing comfort
• High-intensity delivery sprints

Nice To Haves

• Kept up with agentic ML landscape
• Clinical or biomedical NLP

Responsibilities

• Build and deploy AI agent pipelines that extract structured oncology variables from unstructured patient documents.
• Understand the customer's data dictionary.
• Study the source clinical documents.
• Build extraction agents.
• Evaluate accuracy.
• Deploy to production.
• Iterate until it works.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed