Sessional Lecturer- eMHI2007H - Quantitative Skills in Health Informatics
Toronto, ON, Canada
Sessional Lecturer- eMHI2007H - Quantitative Skills in Health Informatics
CUPE Local 3902 (Unit 3) Job Posting
Sessional Lecturer Position
Posting Date: September 21, 2026
Program: Executive Masters of Health Informatics (eMHI)
Sessional Dates of Appointment: Winter 2027, January – April
Existing Vacancy: Yes
Course Title: eMHI2007H – Quantitative Skills in Health Informatics
Course Description:
This course is designed to give students a working knowledge of different types of data in healthcare, health data governance, data privacy, data standards, data quality, and selected applied statistical techniques relevant to healthcare settings. Through this course, students will review common statistical methods used in health research and get familiarized with using SAS to implement these methods for data analysis. In addition, students will learn about clinical data sciences. The emphasis will be placed on the fundamental of clinical data sciences, related skills and conceptual understanding of data analytics techniques (Regex, SQL, RapidMiner).
The goal is for students to gain experience in practical statistical and data analytics techniques to handle and manage their daily professional tasks.
Objectives:
- The goal is for students to gain experience in practical statistical and data analytics techniques to handle and manage their daily professional tasks.
Course Details:
Class schedule: Weekly sessions from 5:10 pm to 7 pm on Tuesdays between January 12 and April 20, 2027.
Delivery mode: Online synchronous
Estimated enrolment: 35
Estimated TA support: None
Qualifications:
- PhD or Masters level education in Measurement and Evaluation, Statistics or related field;
- Demonstrated experience conducting research projects requiring quantitative, qualitative and mixed research methodology;
- Experience in design and implementation of data collection instruments and effective methods for communicating research results;
- Experience teaching graduate-level courses, preferably in research methodology and/or statistics related field;
- Demonstrated ability to relate to mature students and facilitate group learning processes;
- Comfortable with electronic teaching tools such as Learning Management Systems (e.g., Quercus), PowerPoint, as well as on-line collaboration tools (Blogs, Wikkis, Discussion Boards, Webinars, or Video-conferencing).
Duties:
- Course co-instructor for a professional graduate course using competency-based learning and assessment methods.
- Responsible for course design and assessment of student outcomes. Must be accessible to students outside of classroom hours.
Salary:
$9,997.47 - Sessional Lecturer I
$10,699.21 - Sessional Lecturer I - Long Term
$10,699.21 - 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
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.
Application: Please send your CV and cover letter, outlining additional value you will bring to teaching the course via e-mail to ihpme.cupe.unit3@utoronto.ca .
Closing Date: October 12, 2026
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 http://uoft.me/UP.
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 uoft.careers@utoronto.ca.
Job Segment: Medical, Informatics, Data Analyst, Public Health, Healthcare, Technology, Data, Research