CUPE – Winter 2027 – TA – EPI6276

Job summary

The teaching assistant will support the Biostatistics II course by attending classes, assisting with computer labs, and monitoring Brightspace discussions. Additionally, the role involves grading assignments and reviewing course materials with students.

Job details

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: Biostatistics II Course Code: EPI-6276 Section: Supervisor name (if known): Marie-Hélène Roy-Gagnon 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:0 Préparation / Preparation:33 Contact avec étudiants / Contact with Students:38 Correction - Notation / Grading:45 Surveillance / Proctoring:2 Formation / Training:0 Autre / Other:0 Number of positions: 1 Expected Enrolment: 35 Work Start Date: January 11, 2027 Work End Date: May 15, 2027 Total Work Hours: 118 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 Assisting with reviewing class material and monitoring Brightspace discussions. Attending class and assisting with computer labs. Grading assignments. Requirements Graduate statistics course covering generalized linear models, ideally EPI6276. Good knowledge of R. Knowledge of SAS is an asset. Preferred Qualifications: has taken EPI6276 in 2026 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.

What you’ll do

The teaching assistant will support the Biostatistics II course by attending classes, assisting with computer labs, and monitoring Brightspace discussions. Additionally, the role involves grading assignments and reviewing course materials with students.

Requirements

Candidates must have completed a graduate statistics course covering generalized linear models, preferably EPI6276. Proficiency in R is required, while knowledge of SAS is considered an asset.

Listed skills

• materials · Preferred
• Training · Preferred
• English · Preferred
• Health · Preferred
• Process · Preferred
• assessment · Preferred
• Collaboration · Preferred
• Correction · Preferred
• future · Preferred
• Payroll · Preferred
• preparation · Preferred
• Recruitment · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Biostatistics
• R
• SAS
• Generalized linear models
• Grading
• Teaching assistance
• Lab monitoring
• Brightspace
• English Language
• Innovation
• Research
• Creativity
• Teamwork
• Public Health
• SAS (Software)
• R (Programming Language)
• Statistics
• Teaching
• Employment Equity
• Workplace Inclusivity
• Generalized Linear Model

Job areas

• Education
• Science & Research
• Winter Analyst
• Graduate Teaching Assistant
• University and Higher Education Teachers
• Teaching Assistants, Postsecondary

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