Location where work is to be performed:

Main Campus

Session:

2025 Fall Semester | Trimestre d'automne

Faculty:

École de gestion Telfer / Telfer School of Management

Unit:

Telfer School of Management_Students and Casuals

Job Classification:

Teaching Assistant/Demonstrator/Lab Monitor (CUPE)

Posting Type:

Cours précis / Specific course

Course Title:

MHA5300 Fundamentals of Data Analytics: Making Data Useful for Health Care

Course Code:

MBA5100 / MHA5300

Section:

Supervisor name (if known):

Pavel Andreev

Date Posted (YYYY/MM/DD):

2025/08/22

Applications must be received BEFORE (YYYY/MM/DD):

2025/09/08

Description of tasks (hours):

Unless specified below, specific allocation of hours to various tasks should be articulated in a description of work negotiated and signed by you and the supervising professor prior to the commencement of work.

Recherche / Research:0Préparation / Preparation:0Contact avec étudiants / Contact with Students:24Correction - Notation / Grading:78Surveillance / Proctoring:0Formation / Training:0Autre / Other:0

Number of positions:

1

Expected Enrolment:

n/a

Work Start Date:

September 01, 2025

Work End Date:

December 31, 2025

Total Work Hours:

102

Language of Work:

Anglais | English

Graduate Hourly Rate:

53.56

Undergraduate Hourly Rate:

33.99

Requirements and Nature of Work:

Minimum requirments

Must be a Ph.D. student (or holding Ph.D. - preferred) in Management in an area directly related to data analysis and must demonstrate recent relevant and substantial managerial or professional training experience in the area of the course (normally over 5 years), with the strong evidence of management and leadership responsibilities and career progression. A preferred candidate should have substantial experience in teaching and/or teaching assistance of an MBA Data Analysis course (like MBA5300, MBA 5100, MBA5101, etc.) High knowledge of Excel is required.

Experience with Brightspace

Experience with online course delivery

Experience with online videoconferencing environment (ex. Microsoft Teams)

Nature of work

Deliver practical Excel labs – instruct virtually

Assess assignments, cases, projects

Assist with virtual exams

Communicate with students regarding assignments and respond to the related questions

Correction of deliverables including assignments, case studies and part of final

Labs

Comments

Candidates on short list may be interviewed by course professor/coordinator.

Qualified applicants will be required to do a written examination and earn a minimum of 80%.

Please note that the posted hours could be increased due to registration.

Please note, you will be required to have access to a computer, internet, microphone and webcam.

Please note that the teaching method will be delivered in the following : in person. It is possible that the teaching or work method will change due to health measures or other reasons.

Additional Information and/or Comments:

All University of Ottawa employees are required under provincial law to successfully complete all mandatory legislated training offered by the University. The list of training requirements may be modified by provincial law. If you are invited to continue the selection process, please notify us of any particular adaptive measures you might require. We may consult with the Health and Wellness sector of Human Resources, if needed. Any information you send us will be handled respectfully and in complete confidence.

The hiring process will be governed by the current CUPE 2626 collective agreement; you can click here to find out more.

The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact the academic unit to communicate the accommodation need.

Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 – Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.