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About the Role

Conduct applied research on real healthcare data, focusing on explainability, reinforcement learning, and long-context information retrieval. Move quickly from concept to deployment by designing experiments, training models at scale, and collaborating with ML Ops and Product teams. Stay close to the literature and production, coding experiments end-to-end.

Responsibilities

• Conduct applied research on real healthcare data
• Focus on explainability, reinforcement learning, and long-context information retrieval
• Design experiments
• Train models at scale
• Collaborate with ML Ops and Product teams
• Code experiments end-to-end

Requirements

• PhD in computer science / informatics
• At least 3 years of industry experience (postdocs will be considered)
• Experience designing novel architectures and pipelines in PyTorch/TensorFlow/JAX
• 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 of publications at top ML venues (e.g., NeurIPS, ICML, EMNLP, MLHC, CHIL)

Skills

• PyTorch
• TensorFlow
• JAX
• Interpretability
• Reinforcement Learning
• Retrieval-Augmented Generation
• Long-Context Information Retrieval
• Ray
• FSDP
• Lightning

Location

• New York City

Work Type

• Hybrid (3 days onsite)

Experience Level

• Level 2
• Level 3
• Senior
• Staff

Education Level

• PhD in computer science / informatics

Salary/Compensations

• $140,000.00-$300,000 per year
• Eligible to participate in our annual bonus plan

Benefits

• Top-of-market compensation (salary + equity)
• Flexible PTO
• Comprehensive health benefits
• 401(k) matching
• Inspiring, brilliant, mission-driven teammates

About the Company

• 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.
• 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.
• Operates on a national scale with AI agentic systems powering production workflows across 95 of the top 100 U.S. health systems, processing hundreds of millions of patient encounters each year.
• Offers startup-level ownership with enterprise-level impact.
• R1 RCM Inc. is dedicated to the fundamentals of equal employment opportunity.
• 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.
• 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.
• Go beyond expectations in everything we do, driving customer success and improving patient care.
• Enthusiasm is applied to giving back to the community and taking care of our team — including offering a competitive benefits package.

Equal 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.
• We are committed to providing equal employment opportunities and ensuring a fair and inclusive experience for all applicants.