Research Scientist; R37

Remote, USA

R37

Full time

R

At R1, we’re transforming how healthcare works by combining nearly two decades of revenue cycle expertise with advanced technology, including analytics, AI, intelligent automation and workflow orchestration. We pair that technology with the irreplaceable expertise of our people to help hospitals, health systems and medical groups improve financial performance, simplify administrative complexity and create better experiences for patients and providers.

All Together Better defines our culture and the way we work. We’re a diverse, global team united by a shared mission to make healthcare work better for all. Across technology, operations and support functions, our people bring deep expertise, empathy and ingenuity to the work we do. Here, collaboration fuels progress, adaptability sparks innovation and every voice can help shape what’s next for R1 and the future of healthcare.

R37 is R1’s AI innovation lab, building technology to transform healthcare.

Our flagship platform, Phare OS, uses AI and automation to improve critical pre-bill workflows, including authorization, utilization management, documentation and coding. By identifying and resolving issues before claims are submitted, Phare OS helps prevent denials, improve reimbursement and move revenue cycle work upstream.

What makes R37 different is the opportunity to build advanced AI at real-world scale. R1 works across 95 of the top 100 U.S. health systems, giving R37 access to the data, workflows and reach needed to make an immediate impact:

• 180M+ claims
• 550M+ patient encounters
• 1.2B+ workflow actions and outcomes annually

This is startup-level ownership with enterprise-level impact. You’ll build technology that moves from idea to real healthcare environments, solving complex problems at scale and changing how healthcare works.

As our Research Scientist, you will help advance the state of applied AI in healthcare by developing novel machine learning approaches that improve how intelligent systems reason, retrieve information, and explain decisions. Every day, you will design and run experiments on large-scale healthcare datasets, develop and evaluate cutting-edge models, and collaborate with engineering and product teams to bring research innovations into production.

To thrive in this role, you must be deeply grounded in machine learning research, enjoy working hands-on with production systems, and be excited about turning breakthrough ideas into measurable real-world impact.

Here’s what you will experience working as a Research Scientist:

• Conducting applied research in areas such as explainable AI, reinforcement learning, retrieval-augmented generation (RAG), and long-context information retrieval.
• Designing, training, and evaluating novel machine learning models using large-scale healthcare data and distributed computing infrastructure.
• Partnering closely with ML Engineering, ML Ops, and Product teams to move research innovations from concept to production.
• Building end-to-end research prototypes, experimentation frameworks, and validation methodologies that deliver measurable business and user impact.

We prefer this role to be Hybrid (3 days onsite) at our SOHO Office Hub in New York City.

• PhD in Computer Science, Computer Engineering, Informatics, Machine Learning, Artificial Intelligence, or a related field.
• 3+ years of industry research experience (postdoctoral experience may be considered equivalent).
• Expertise developing machine learning models and architectures using frameworks such as PyTorch, Tensor Flow, or JAX.
• Demonstrated research experience in one or more of the following areas: interpretability, reinforcement learning, retrieval-augmented generation (RAG), or long-context…