Research Scientist

R37 Lab, R1 RCM; New York (NY); Hybrid; USD 140,000 - 300,000; Full time

Benefits offered by this job

Top-of-market compensation

Flexible PTO

Hybrid in-office

Comprehensive health benefits

401(k) matching

Job summary

A leading healthcare technology company in New York is seeking applied scientists to conduct research on real healthcare data. The role involves designing experiments, training models, and collaborating with cross-functional teams. Ideal candidates have a PhD in computer science or informatics, experience in producing research architectures, and familiarity with distributed infrastructures. This in-person role requires presence at the SoHo office at least three days a week and offers top-of-market compensation along with significant growth opportunities.

Qualifications

• PhD in computer science / informatics and at least 3 years of industry experience.
• Experience designing novel architectures in production.
• Comfortable with running training on large-scale distributed infrastructure.

Responsibilities

• Conduct applied research on real healthcare data.
• Design experiments, train models at scale.
• Collaborate with ML Ops and product teams.

Skills

Experience designing novel architectures and pipelines in PyTorch/TensorFlow/JAX

Research expertise in interpretability, reinforcement learning

Comfortable running large-scale training on distributed infrastructure

Track record publications at top ML venues

Education

PhD in computer science / informatics

Tools

PyTorch

TensorFlow

Ray

JAX

Job description

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

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 ML Ops 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 and at least 3 years of industry experience (will consider postdocs).

Additionally, 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)

Role Leveling

We are looking for candidates at various levels with this type of experience, ranging from L2 (Mid-Level) to L4 (Staff).

• L2: Independently delivers a complete end-to-end project, owning design, implementation, and delivery of scoped work
• L3: Leads delivery of larger projects, handling increased technical complexity and ambiguity, providing light guidance to L2s on shared work
• L4: Leads teams or major cross-functional initiatives while managing a portfolio of projects aligned to key technical goals

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

Interview Logistics Notice

As part of our hiring process, selected candidates will participate in an in-person interview. Candidates located near one of our talent hubs—San Francisco, New York, Austin, or Chicago—will be scheduled to meet with team members in those locations. For candidates residing outside these areas, we will arrange travel to a hub for the interview. Travel accommodation will be provided as needed. We are committed to providing equal employment opportunities and ensuring a fair and inclusive experience for all applicants.

For this US-based position, the base pay range is $140,000.00-$300,000 per year. Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training.

This job is eligible to participate in our annual bonus plan.

The healthcare system is always evolving — and it’s up to us to use our shared expertise to find new solutions that can keep up. On our growing team you’ll find the opportunity to constantly learn, collaborate across groups, and explore new paths for your career.

Our associates are given the chance to contribute, think boldly, and create meaningful work that makes a difference in the communities we serve around the world. We go beyond expectations in everything we do. Not only does that drive customer success and improve patient care, but that same enthusiasm is applied to giving back to the community and taking care of our team — including offering a competitive benefits package.

R1 RCM Inc. (“the Company”) is dedicated to the fundamentals of equal employment opportunity. The Company’s employment practices , including those regarding recruitment, hiring, assignment, promotion, compensation, benefits, training, discipline, and termination shall not be based on any person’s age, color, national origin, citizenship status, physical or mental disability, medical condition, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status or any other characteristic protected by federal, state or local law. Furthermore, the Company is dedicated to providing a workplace free from harassment based on any of the foregoing protected categories.

If you have a disability and require a reasonable accommodation to complete any part of the job application process, please contact us at 312-496-7709 for assistance.

California resident job applicants can learn more about their privacy rights California Consent

To learn more, visit: R1RCM.com