MÉTH. AVAN. TECHN. & INN. RECH
About The Position
This is a part-time regular professor position for the course HSS6507: Méthodes avancées pour les technologies et l'innovation en recherche en santé during the 2027 Winter Semester in the Faculty of Health Sciences. The course focuses on the development, evaluation, and implementation of health technologies, including ethical, cost-effectiveness, and patient engagement factors. It examines research methods like randomized controlled trials, systematic reviews, and qualitative approaches for assessing health technology experiences. Practical experience in analyzing and interpreting health technology datasets is emphasized, focusing on critical evaluation and data-driven perspectives in health sciences advancement. The course is delivered in a hybrid format with a minimum of 75% in-person instruction.
Requirements
- Hold a doctorate in health sciences, health technology assessment, digital health, or a related field, or be currently enrolled in a doctoral program in a relevant field and have completed doctoral coursework.
- Possess university teaching experience or teaching assistant experience, preferably at the graduate level.
- Demonstrate recent and significant involvement in research or other scholarly activities relevant to the course, evidenced by publications, scholarly communications, participation in funded research projects, scientific communication activities, knowledge mobilization, or other relevant scholarly contributions.
- Possess demonstrated expertise in the development, evaluation, or implementation of health technologies or innovations in health research.
- Possess experience in applying research methods and data analysis relevant to health technologies, innovation, and critical evaluation of evidence in health research.
Nice To Haves
- Competence in a second language (Passive).
Responsibilities
- Teach the course HSS6507: Méthodes avancées pour les technologies et l'innovation en recherche en santé.
- Conduct research or scholarly activities relevant to the course.
- Participate in the analysis and interpretation of health technology datasets.
- Provide instruction in a hybrid format, ensuring at least 75% in-person delivery.
- Engage in activities related to knowledge mobilization and scientific communication.
Benefits
- Competitive salary
- Defined benefit pension plan
- Group insurance coverage
- Employee and family assistance program
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What This Job Offers
Job Type
Part-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
