Research Scientist
Role Overview
As a Research Scientist at Phare Health, you will conduct applied research on healthcare data, focusing on explainability, reinforcement learning, and long-context information retrieval. This senior role involves designing experiments, training models at scale, and collaborating with MLOps and product teams to deploy AI solutions that improve hospital billing and reimbursement processes. You will code experiments end-to-end and work closely with production systems to drive measurable user impact.
Perks & Benefits
This role offers top-of-market compensation including salary and equity, flexible PTO, and comprehensive health benefits with 401(k) matching. It is a hybrid in-office position requiring at least 3 days per week in the NYC SoHo office, fostering collaboration with mission-driven teammates. While not fully remote, the hybrid setup provides some flexibility, and the company culture emphasizes innovation and impact in healthcare technology.
Full Job Description
About Phare & R1
Phare is building healthcare’s first Revenue Operating System - a platform that uses AI to make hospital billing and reimbursement effortless, accurate, and fair. We recently became part of R1, one of the largest companies managing healthcare claims which serves hundreds of systems around the country. This gives us the best of both worlds: the DNA of an AI startup paired with the scale of a healthcare organization that supports care delivery for hundreds of healthcare systems nationwide. Join us on our mission to build a fairer, faster model for healthcare payments.
The Role
We skew toward the RS/RE blend – applied scientists who feel comfortable getting close to production code. You’ll conduct applied research on real healthcare data, focused on explainability, reinforcement learning, and long-context information retrieval. You’ll move quickly from concept to deployment - designing experiments, training models at scale, and collaborating with MLOps and product teams to turn ideas into measurable user impact. You’ll stay close to the literature and close to production, coding your own experiments end to end.
This is an in-person role in NYC requiring at least 3 days in the SoHo office.
About you
You have a PhD in computer science / informatics plus at least 3 years of industry experience (will consider postdocs also). You have:
Experience designing novel architectures and pipelines in PyTorch/TensorFlow/JAX - strong preference for applied research which has made its way into production.
Research expertise in one or more of: interpretability, reinforcement learning, retrieval-augmented generation, or long-context information retrieval.
Comfortable running large-scale training and evaluation on distributed infrastructure (e.g., Ray, FSDP, Lightning).
Track record publications at top ML venues (e.g., NeurIPS, ICML, EMNLP, MLHC, CHIL).
Benefits
Top-of-market compensation (salary + equity)
Flexible PTO
Hybrid in-office (min. 3 days per week)
Comprehensive health benefits
401(k) matching
Inspiring, brilliant, mission-driven teammates
Hiring Flow
Intro call - your background & our mission alignment
Technical deep-dives - pseudo-coding exercise and systems design (not Leetcode)
Culture interview in person in NYC
References
Offer
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