- Possess a Bachelor degree in psychology, social sciences, or related disciplines, with training in epidemiology, biostatistics, public health, health services research, or a related quantitative field, in combination with one (1) year of experience working in a relevant research setting.
- Have demonstrated experience conducting advanced longitudinal and quasi-experimental analyses using population-level administrative or surveillance data.
- Have experience with time-series methods, including interrupted time-series analysis, segmented regression, and related causal inference approaches.
- Have strong writing skills, as demonstrated through authoring papers, academic publications and/or reports.
Experience with EndNote or similar reference management tool is an asset. Candidates with experience conducting statistical analyses in R will be prioritized. Candidate must possess strong organizational and interpersonal skills. This position requires the individual to work independently as well as within a team setting.
Salary Range: $27.95 - $37.28 per hour
Fully affiliated teaching hospital and research institute of the University of Toronto. As a CAMH employee, you will contribute to our mission by supporting teaching, research, and clinical care across the hospital.
CAMH is dedicated to equity, diversity, and inclusion. Our commitment is to foster a workplace, teaching, and learning environment that is inclusive, respectful, and free from discrimination or harassment.
CAMH strongly encourages applications from candidates who reflect the diversity of the communities we serve, including First Nations, Métis, and Inuit Peoples; Black and other racialized communities; LGBTQ2S+ communities; women; and people with disabilities, including those with lived experience of mental health and substance use challenges.
We welcome applicants from all backgrounds. Thank you to all who apply; however, only those selected for an interview will be contacted. If you require accommodations during the application or recruitment process, please let us know.
