The Data Scientist turns CCAD's clinical, operational, imaging, research, digital-front-door and device data into evidence based insights and validated AI solutions that advance patient care, quality, safety, efficiency and discovery. The role leads problem framing, cohort and feature design, statistical and causal analysis, experimentation, predictive modeling, computer vision and multimodal AI evaluation, and clear communication of findings to clinical and business stakeholders. As CCAD advances toward the north star of an autonomous hospital, the Data Scientist partners with clinicians, clinical informatics, data engineering, AI/ML engineering, governance and product teams to convert high-value use cases into safe, measurable, human-in-the-loop analytics and AI products.

Desired Candidate Profile

Bachelor degree in Statistics, Data Science, Computer Science, Mathematics, Physics, Biomedical Engineering, Epidemiology, Health Informatics, Health Economics or a related quantitative field. PREFERRED: Master degree or PhD in a relevant quantitative, AI, biomedical, clinical informatics or health-data discipline. 3+ years in data science, advanced analytics, applied ML/AI or applied research, including healthcare, life sciences, hospital operations or similarly regulated data environments. PREFERRED: 5+ years in healthcare AI/analytics; experience leading AI products from problem definition through validation and adoption; peer-reviewed research or clinical quality improvement experience.