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Sessional Lecturer- MHI2007H - Quantitative Skills in Health Informatics

CUPE Local 3902 (Unit 3) Job Posting

Posting Date: September 21, 2026

Program: Masters of Health Informatics (MHI)

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 qualified 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.

Class schedule: Weekly sessions from 5:10 pm to 7 pm on Tuesdays between January 12 and April 20, 2027.

Delivery mode: In-person

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:
- Courseco-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.

Please note that should rates stipulated in the collective agreement vary from ratesstatedin thisposting,the ratesstatedin the collective agreement shall prevail.

Closing Date: October 12, 2026

This job is postedin accordance withthe 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.

Preferenceinhiringisgiventoqualifiedindividualsadvancedto therankofSessionalLecturerII orSessionalLecturer IIIinaccordancewithArticle14:12oftheCUPE3902Unit3collectiveagreement.





Pleasenote:UndergraduateorgraduatestudentsandpostdoctoralfellowsoftheUniversityofTorontoarecoveredby theCUPE3902Unit1collectiveagreementrather thantheUnit3collectiveagreement,andshouldnotapplyforpositionspostedundertheUnit3collectiveagreement.

Diversity Statement

The University of Toronto embraces Diversity and is building aculture of belonging that increases our capacity to effectivelyaddress and serve the interests of our global community. Westrongly encourage applications from Indigenous Peoples,Black and racialized persons, women, persons withdisabilities, and people of diverse sexual and gender identities.We value applicants who have demonstrated a commitment toequity, diversity and inclusion and recognize that diverseperspectives, experiences, and expertise are essential tostrengthening 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 [email protected] .

📌 Sessional Lecturer-H - Quantitative Skills in Health Informatics (Toronto)
🏢 University of Toronto
📍 Toronto