IRE2004HS – Data Analytics and Metrics for IR and HR – Sessional Lecturer

Date Posted: 06/03/2025

Req ID: 43206

Faculty/Division: Faculty of Arts & Science

Department: Ctr for Industrial Relations

Campus: St. George (Downtown Toronto)

Description:

Course Number and Title: IRE2004HS – Data Analytics and Metrics for IR and HR

Course Description: This course is designed for students who have already completed an introductory statistics course and are ready to apply foundational statistical concepts to practical problems in human resource management and industrial relations. Emphasizing application over theory, the course covers techniques such as descriptive analysis, hypothesis testing, ANOVA, and multivariate regression within the context of HR functions including employee selection, compensation, and labor relations. Students will use R software to analyze HR data, assess policy effectiveness, and develop data-informed recommendations. The course highlights the importance of selecting appropriate analytical methods and recognizing common pitfalls in statistical reasoning.

Estimated Course Enrolment: 2 sections of 40-50 students each.

Estimated TA Support: approx. total 140 TA hrs for both sections.

Schedule: Tuesday, 15:00 – 17:00 and Tuesday, 18:00-20:00.

Sessional Dates of Appointment: January 1 – April 30, 2026

Salary:

Salary (inclusive of vacation pay):

Sessional Lecturer I = $9820.70

Sessional Lecturer I – Long Term = $10,510.04

Sessional Lecturer II = $10,510.04

Sessional Lecturer II – Long Term = $10,760.28

Sessional Lecturer III = $10,760.28

Sessional Lecturer III – Long Term = $11,030.36

Please note that should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement should prevail.

Minimum Qualifications:

Completed PhD in Industrial Relations, Human Resources, or a related discipline; or a combination of advanced degrees (e.g., MIRHR, MBA, LLB in an applicable area) and equivalent professional experience. Expert knowledge of the subject area is required. Familiarity with the use of R software for statistical analysis is also essential.

Preferred Qualifications:

Expert knowledge of subject area and demonstrated ability in university teaching. Previous experience in teaching a similar course is preferred.

Description of Duties: Prepare a course syllabus in accordance with departmental guidelines. Prepare and deliver lectures (12 two-hour classes); be available for office hours and informal communications with students. Assess and evaluate students’ work and provide final course grades in accordance with University and Department practices.

Closing Date: June 25, 2025

Application Instructions:

Applicants must submit an updated curriculum vitae, evidence of teaching in the relevant area (including student evaluations, if available), and the CUPE 3902 Unit 3 application form located here: https://uoft.me/CUPE-3902-Unit-3-Application-Form to:

Tanya Pitel,

CIRHR Program Assistant

Centre for Industrial Relations and Human Resources

University of Toronto

121 St. George Street, Toronto, ON M5S 2E8

Email: t.pitel@utoronto.ca

Applications must be emailed directly to t.pitel@utoronto.ca and should not be submitted through this website.

Closing Date: 06/25/2025, 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.

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