Sessional Lecturer- HADUnderstanding and Using Quantitative Evidence

Sessional Lecturer Position

Posting Date:
July 22, 2026

Program:
Master of Health Science in Health Administration (MHSc)

Sessional Dates of Appointment:
Fall 2026, September to December

Existing Vacancy:
Yes

Course

Title:

HAD
5724H Understanding and Using Quantitative Evidence

The objective of this course is to introduce students to quantitative managerial skills. Increasingly managers face decisions that require reliable information and a clear understanding of their agency’s profile. Quantitative managerial skills allow for this information and understanding to be provided; it makes possible better decisions in human resources, marketing, operations, finance, accounting, and other functional areas. Objectives of the course are achieved through a combination of Readiness Assessment Tests and critical analysis of evidence based articles and the impact on decision making.

Course assignments offer students opportunities to analyze a Patient Satisfaction data set using SPSS and to develop their evidence based decision making skills.

• Reconstruct administrative problems into researchable questions

• Value the use of statistical analyses for performance management and evaluation of health care services and programs
• Display confidence in ability to use quantitative information for management decision making
• Reconstruct administrative problems into researchable questions
• Evaluate how the characteristics of descriptive statistics can impact management decision making
• Select and apply appropriate inferential statistical tests
• Relate the results of a hypothesis test with nominal data to “real-life” decision making situations
• Demonstrate the ability to work collaboratively in a team environment and hold others accountable for their performance

• Class schedule:
  Modular sessions from September 24 and December 17, 2026.
• Delivery mode:
  In-person and Online Synchronous
• Estimated enrolment: 33
• Estimated TA support:
  None

• Significant experience in data analytics and quantitative methods to inform health care decision making
• A robust understanding of quantitative methods and applications in health services research, management and policy
• Past teaching experience related to quantitative methods
• Prior experience in curriculum development and adult teaching-learning methods;
• Experience working in more applied settings including for example as a preceptor;
• 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).

• Co-Course instructor for a professional graduate course using competency-based learning and assessment methods.
• Must be accessible to students outside of classroom hours.
• Available evenings and weekends.

• $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 ratesstatedin this posting,the ratesstatedin the collective agreement shall prevail.

July 24, 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 therankof

Sessional

LecturerII orSessional

Lecturer IIIinaccordancewith Article
14:12oftheCUPE
3902

Unit3collectiveagreement.

Please note:

Undergraduateorgraduatestudentsandpostdoctoralfellowsofthe Universityof Torontoarecoveredby  theCUPE
3902

Unit1collectiveagreementrather thanthe

Unit3collectiveagreement,andshouldnotapplyforpositionspostedunderthe

Unit3collectiveagreement.

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