Software Engineer - Data Platform

About this role

About Us

Phare Health is now part of R1 and its AI innovation engine, R37 Lab, bringing Phare’s frontier clinical reasoning technology together with one of the largest healthcare platforms in the U.S.

At R37 and Phare, we are building the first AI-native Healthcare Revenue Operating System: a connected platform that reasons over full medical records, payer logic, and financial workflows to automate medical coding, billing, and follow-up.

Backed by real customers, real data, and real distribution, we operate on a national scale. Our agentic AI systems already power production workflows across 95 of the top 100 U.S. health systems, processing hundreds of millions of patient encounters each year, including:

• **180M+** Claims
• **550M+** Patient encounters
• **1.2B+** Workflow actions and outcomes each year

This is startup-level ownership with enterprise-level impact. If you want to build AI that ships, scales, and measurably improves how healthcare works, this is the place to do it.

The Role

You’ll own the data foundations of the Phare stack, including the backend schemas and APIs that power both the AI engine and the user-facing application. You will work on reliable systems for ingesting, transforming, and serving large-scale healthcare data, ensuring high performance, observability, and security/compliance.

We are hiring across several seniority levels ranging from Mid-level up to Staff. At a minimum, we would expect 5 years of software engineering experience with 2 years working with high-throughput data pipelines.

*This is an in-person role in NYC, requiring at least 3 days in the SoHo office.*

About you

You have worked on the data backend behind a production-grade ML system and/or a user-facing SaaS application.

Additionally, you are:

• Experienced in architecting and building microservices and ETL pipelines in Python, Go, or Java
• Experienced building and managing infrastructure with Terraform, Docker, and Kubernete...