Posting Reason:
New Position
Location where work is to be performed:
Main Campus, Smyth, Alta Vista, General Hospital, CHEO Campuses
Session:
2027 Winter Semester | Trimestre d'hiver
Faculty:
Faculté de médecine/ Faculty of Medicine
Unit:
Faculty Payroll - Students and Casuals
Job Classification:
Teaching Assistant/Demonstrator/Lab Monitor (CUPE)
Posting Type:
Cours précis / Specific course
Course Title:
Epidemiological Research Using Large Databases
Course Code:
EPI-5143
Section:
Supervisor name (if known):
Dr. Steve Hawken
Date Posted (YYYY/MM/DD):
2026/11/09
Applications must be received BEFORE (YYYY/MM/DD):
2026/11/28
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:5Contact avec étudiants / Contact with Students:25Correction - Notation / Grading:50Surveillance / Proctoring:5Formation / Training:0Autre / Other:0
Number of positions:
1
Expected Enrolment:
20
Work Start Date:
January 11, 2027
Work End Date:
May 15, 2027
Total Work Hours:
85
Hourly Rate:
AE-RA-Tuteur / TA-RA-Tutor : $33.83 ou/or $53.31 (Sept. 2026 - Aug. 2027)
Undergraduate students will be paid at the lower rate; while graduate students will be paid at the higher rate.
These rates do not include vacation pay nor statutory pay.
Method of Delivery:
in person
Language of Work:
Anglais | English
Requirements and Nature of Work:
Nature of Work
- Preparing and presenting course lecture material
- Marking weekly assignments consisting primarily of SAS and R coding exercises, preparing, invigilating and marking final exam
- Providing assistance to students during a weekly computer lab/interactive help session and by appointment
- Managing the course website and Github repository through which assignments will be submitted, marked and returned to students
Requirements
- Demonstrated expertise in SAS statistical programming language
- Demonstrated expertise in R statistical programming language
- Experience with generating high-quality statistical graphics
- Familiarity with good coding/programming practices
- Experience with Git and Github
- Excellent organizational and communication skills
- Successful Completion of the EPI5143 course with high marks would be considered an asset
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.
