Research Scientist
Core
Conduct applied research on real healthcare data to build AI systems for medical coding, billing, and follow-up, focusing on explainability, reinforcement learning, and long-context information retrieval.
Role type
Applied Research Scientist (RS/RE blend)
Builds
AI-native Healthcare Revenue Operating System (medical coding, billing, follow-up workflows)
Domain
Healthcare + Machine Learning
Deliverable
production ML models
Required skills
PhD in computer science/informatics, experience designing novel architectures in PyTorch/TensorFlow/JAX, expertise in interpretability/reinforcement learning/retrieval-augmented generation/long-context retrieval, large-scale distributed training (Ray/FSDP/Lightning), track record of publications at top ML venues
Preferred skills
Applied research that has made it into production
Technologies
PyTorch, TensorFlow, JAX, Ray, FSDP, Lightning
Responsibilities
Design experiments, train models at scale, collaborate with ML Ops and Product teams to deploy ideas, code experiments end-to-end
Seniority
Level 2 to Staff (Independent delivery to Organizational impact)
