Nathan worked as a clinical data scientist at a hospital system, building risk-prediction models, before shifting to full-time writing about the career side of healthcare AI. He covers how hospitals, health-tech startups, and insurers are creating new roles and retraining clinical staff, with attention to credentialing requirements that don't yet exist for many of these positions. He's especially interested in nursing and allied health roles that are quietly absorbing AI tool literacy requirements. He keeps his clinical contacts close and verifies claims against people actually doing the work.
Covers: healthcare AI job roles, clinical ML career paths, hospital AI adoption, health tech credentialing
Education: M.S. in Health Informatics