Research Associate 2 - Institute for Mental Health Policy Research-camh

Through its core values of Courage, Respect and Excellence, CAMH is implementing its Strategic Plan: Connected CAMH, to transform lives, ignite innovation and discovery, revolutionize education and drive social change. CAMH is more than a hospital, it is a cause. CAMH is on a mission to change the way society thinks about and responds to mental illness. They aim to eliminate prejudice and discrimination and shape a world where mental illness is central to our healthcare system - a world where Mental Health is Health.

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The Institute for Mental Health Policy Research (IMHPR) at the Centre for Addiction and Mental Health is home to leading scientific experts dedicated to informing policy and practice on mental illness and substance use disorders. IMHPR scientists conduct collaborative research on communities, populations, health systems and global health, and develop and evaluate prevention and intervention initiatives to reduce mental health and substance use challenges. IMHPR is committed to equity, informed by the social determinants of health.

IMHPR is seeking a Research Associate 2 for a casual position to support an ongoing research initiative that requires a strong background in quantitative research involving group level (i.e., nested) data focusing on sexual violence in drinking establishments. The project is supported by the Canadian Institutes of Health Research and focuses on the analysis of quantitative data collected from groups of young adults in a bar district.

This position will assist with data management and analyses using hierarchical linear modelling (HLM). More specifically, the Research Associate 2 will be responsible for the following research activities:

The successful candidate will have a Bachelor’s degree in health or social sciences or a related discipline combined with at least 1 year of quantitative research experience. The successful candidate must have demonstrated quantitative research experience, namely strong knowledge of data management, variable and scale development, various analytic methods, and in-depth knowledge of hierarchical linear modelling techniques. The successful candidate will also have excellent writing skills, as demonstrated through authoring papers, academic publications and/or reports. Candidates must be proficient in using Microsoft Office programs as well as SPSS, HLM, and/or Mplus. The individual must be conscientious, reliable, mature, enthusiastic, and motivated. Candidates must possess strong organizational skills and be extremely detail-oriented. This position requires the ability to work both independently and collaboratively while closely following detailed instructions. Candidates require the ability to work effectively in a wide range of settings with individuals from diverse backgrounds. The successful candidate will be required to attend a two and one-half day CAMH orientation session.

This is a casual non-union position located in the London Ontario area.