Research Assistant 2

McGill University

1d • $35

About The Position

Apply realist evaluation methodology to develop, refine, and test Context–Mechanism–Outcome (CMO) configurations related to IRC strategies and digital health interventions. Lead and support study protocol amendments, including theory development, data collection planning, analytic strategies, and ethics submissions. Collect, manage, and analyze mixed-methods data (qualitative interviews, surveys, administrative and digital platform data), ensuring methodological rigor and reproducibility. Support implementation and evaluation of IRC strategies and digital health tools, including monitoring deployment, assessing fidelity, and integrating stakeholder feedback across sites. Contribute substantively to scientific outputs and knowledge mobilization products, including methods sections, analytic frameworks, figures, publications, presentations, and policy-relevant materials. Provide research support to other related projects within the program as required.

Requirements

• Master's Degree required.
• Knowledge in related field.
• Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located.
• McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing.
• Knowledge of French and English: McGill University is an English-language university where day to day duties may require English communication both verbally and in writing.
• The level of English required for this position has been assessed at a level # (qualifier) on a scale of 0-4.

Responsibilities

• Apply realist evaluation methodology to develop, refine, and test Context–Mechanism–Outcome (CMO) configurations related to IRC strategies and digital health interventions.
• Lead and support study protocol amendments, including theory development, data collection planning, analytic strategies, and ethics submissions.
• Collect, manage, and analyze mixed-methods data (qualitative interviews, surveys, administrative and digital platform data), ensuring methodological rigor and reproducibility.
• Support implementation and evaluation of IRC strategies and digital health tools, including monitoring deployment, assessing fidelity, and integrating stakeholder feedback across sites.
• Contribute substantively to scientific outputs and knowledge mobilization products, including methods sections, analytic frameworks, figures, publications, presentations, and policy-relevant materials.
• Provide research support to other related projects within the program as required.

What This Job Offers

• Job Type: Part-time
• Career Level: Mid Level