Research Scientist (AI in Healthcare)

About the role

R1 RCM is a revenue cycle technology company that combines revenue cycle expertise with analytics, AI, intelligent automation and workflow orchestration to help hospitals, health systems and medical groups improve financial performance. R37 is its AI innovation lab, building technology such as Phare OS, which improves pre-bill workflows like authorization, utilization management, documentation and coding. As a Research Scientist, you will advance applied AI in healthcare by developing machine learning approaches that improve how intelligent systems reason, retrieve information and explain decisions, designing and running experiments on large-scale healthcare datasets and collaborating with engineering and product teams to bring research into production.

Key responsibilities

• Conduct applied research in areas such as explainable AI, reinforcement learning, retrieval-augmented generation (RAG) and long-context information retrieval.
• Design, train and evaluate novel machine learning models using large-scale healthcare data and distributed computing infrastructure.
• Partner with ML Engineering, ML Ops and Product teams to move research innovations from concept to production.
• Build end-to-end research prototypes, experimentation frameworks and validation methodologies.

Required profile

• 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).
• Demonstrated research in interpretability, reinforcement learning, RAG or long-context information retrieval.
• Proven publication record at top-tier ML/AI or healthcare AI conferences such as NeurIPS, ICML, EMNLP, MLHC or CHIL.
• Preference for a hybrid arrangement (3 days onsite) at the SOHO Office Hub in New York City.

Required skills

• Machine learning model development with PyTorch, TensorFlow or JAX.
• Training and evaluating large-scale models on distributed platforms such as Ray, FSDP or PyTorch Lightning.

What we offer

• Base pay of $140,000 to $270,000 depending on level (L2 to Staff), with a bonus starting at 10%.
• Flexible PTO and comprehensive health benefits.
• 401(k) matching.