CHL5233H Position Description
This course covers essential R programming and computational tools in health sciences research. Topics include data pre-processing and manipulation, data visualization, loops and functions, optimization, and package development with an emphasis on reproducibility and replicability. Throughout the course, students will aim to reproduce the analysis conducted in a published paper that provides data from open sources. Each student will create a GitHub repository for their project and update/edit their code every week using version control.
Instructor: Aya Mitani
Qualifications:
Proficiency in R; experience with Quarto and GitHub.
Duties:
a) Attend each class to support students with in-class assignments; b) assist with assessment of the final group project; c) hold weekly office hours.
Relevant Criterion:
The need to acquire experience is the more relevant criterion.
Estimated Course Enrolment: 30
Positions Available: 1
Estimated Hours: 50
Tutorial/Labs: N/A
Application deadline: Friday, July 11, 2025
According to current immigration regulations, to be eligible to work on campus international students must have a valid study permit, be enrolled as a full-time student and have a valid Social Insurance Number (SIN). You must stop working on the day you no longer meet any of the above eligibility requirements.