Applied AI Scientist, Clinical AI Agents

Tech Stack

Responsibilities

• Design, build, and iterate on agentic AI systems for complex healthcare workflows including documentation, coding, denial management, appeals, and revenue cycle automation.
• Develop long-horizon agent behavior across context construction, retrieval, tool use, memory, routing, verification, escalation, and human-in-the-loop review.
• Define what “good” looks like for clinical agents end-to-end, translating expert workflows into specifications, rubrics, gold standards, test cases, and clinically meaningful success criteria.
• Build rigorous evaluation and feedback loops using expert review, production logs, model outputs, and benchmarks to measure performance, regressions, edge cases, safety, reliability, provenance quality, and business impact.
• Prototype new AI capabilities from 0 → 1, then harden them into reliable, explainable, auditable production systems with clear contracts, monitoring, evidence, rationale, and performance gates.

Soft Skills

Benefits

• Equity
• Flexible PTO
• Health Insurance
• 401k
• Mental Health

Culture

Requirements