Jobs · Engineering · New York

Staff Software Engineer (Payer)

Headway · Buffalo-Niagara Falls Area · 1 wk ago
Engineering$264k–$330k/yrFull-time

The Work

  • Payers & Outcomes: Sits at the intersection of ML, clinical quality, and trust. Builds intelligent systems to protect the integrity of the network, spot risk, surface quality signals, and give providers real-time feedback.
  • Clinical Feedback: Architect LLM-powered systems to review clinical documentation at scale and deliver helpful, real-time feedback to providers.
  • Detecting Risk in Healthcare Claims: Design ML/LLM systems to spot patterns of inappropriate billing, over-utilization, and low-quality care across millions of appointments and claims.
  • Measuring & Elevating Clinical Quality: Build systems to systematically review every prescriber in the network against clinical quality standards.
  • Patient Needs & Provider Fit: Build ML systems to understand complex patient needs and match them to providers best suited to help.
  • Trustworthy AI in Healthcare: Champion AI evaluation and iteration, ensuring reliability and safety in a regulated environment.
  • Technical Foundations & Mentorship: Set the technical standard, optimize for maintainability and scale, mentor by default, and establish patterns to prevent bugs.

Who You Are

  • End-to-End Product Builder: Cares about API architecture and UX, seamlessly switching between backend logic and frontend state management.
  • Owns Outcomes, Not Tasks: Defines solutions, pulls in the right people, and keeps things moving when priorities shift.
  • Makes Technical Decisions for Maintainability and Scale: Optimizes for maintainability and scale, not just shipping speed.
  • Mentor by Default: Pulls engineers into design discussions, teaches through code reviews, and ensures knowledge sharing across the team.
  • Ships Fast, Iterates Faster: Moves from problem statement to solution quickly, prioritizing real feedback over perfection.
  • Quickly Learns Complex Domains: Dives into unfamiliar domains and builds a working mental model fast.
  • Motivated by Impact: Wants engineering skills applied to impactful problems, particularly mental healthcare access.
  • Communicates with Precision: Communicates clearly and concisely in various contexts.
  • AI Frontier Tinkerer: Pushes LLMs to their limits in real workflows, from code generation to operational automation.

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