Lecturer

Sessional Lecturer: CHL5150H Data Collection Methods for Research and Evaluation Projects Campus: St. George (Downtown Toronto) SESSIONAL LECTURER for Fall 2026 Term, at .5 FCE – CUPE 3902 Unit 3 Course# & Course Title: CHL: 5150H Data collection methods for research and evaluation projects Course Description This course aims to provide students with an understanding of the application of a variety of data collection and generation methods to diverse public health problems, challenges and issues. Throughout the course, students are expected to complete the readings, participate in class presentations and discussions Course Learning Objectives Select when and how to use different methods of sampling and recruitment Critically assess the relative benefits and weaknesses of each data collection and generation method Consider when and how to implement an explicit community-based and social justice approach to research Develop data collection and generation implementation processes and anticipate/solve problems Identify ethical issues related to each data method Critically assess threats to validity and credibility and anticipate how these can be addressed As part of a group, design and implement a data collection or generation method Prepare a project management plan. Estimated course enrolment: 30 Estimated TA support: none Class Schedule: Fall 2026 Sessional dates: September to December 2026 Salary $9,997.48 (Sessional Lecturer I) $10,699.22 (Sessional Lecturer I Long Term) $10,699.22 (Sessional Lecturer II) $10,953.96 (Sessional Lecturer II Long Term) $10,953.96 (Sessional Lecturer III) $11,228.90 (Sessional Lecturer III Long Term) (Salary inclusive of 4% or 6% vacation pay, where applicable) Please note that should rates stipulated in the Collective Agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail. Minimum Qualifications PhD in relevant area of study, detailed knowledge of and field experience of implementing the following data collection/generation methods used in the social sciences: face to face/telephone/online surveys; focus group discussions; diaries; photovoice/cellphilm; observation; and concept mapping. For each of the data collection/generation methods, detailed knowledge of the participant recruitment methods; sampling principles and methods; community-based research and social justice principles; rigour/credibility; research ethics issues and challenges; data management methods; and project management principles. Description of duties As well as normal in person teaching duties, the instructor will review and revise the course syllabus, plan lectures and other learning activities; plan and evaluate student assignments; mentor students and support learning, and communicate with the MPH program director as necessary. Closing Date: 08/07/2026, 11:59PM EDT This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail. Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement. Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement. Diversity Statement The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission. As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see Accessibility Statement The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission. The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities. If you require any accommodations at any point during the application and hiring process, please contact View email address on click.appcast.io. Job Segment Public Health, Data Management, Project Manager, Database, Healthcare, Research, Data, Technology #J-18808-Ljbffr