Ontario Health · Toronto, ON · On-site · Canada
Graduate degree in a health system field such as clinical epidemiology, health services research or data science (or equivalent education and experience) and three to five years of experience analyzing large datasets with SAS, R, Python and Excel; experience with Ontario data holdings such as DAD, NACRS, OHIP and RPDB is expected. No licence is mentioned. Builds indicators, dashboards and models for the provincial mental health and addictions system. In-office work model, permanent full-time, salary Band 5 (dollar range not posted). Applicants must live in Ontario. External deadline November 1, 2026.
Public health / epidemiology · Statistics / biostatistics · Data science / analytics
SAS, R or Python · DAD, NACRS and OHIP data · health system performance indicators · dataset linkage · executive briefings