[Hiring] Graduate Teaching Assistant- Health Data Analytics Course: Introduction to the Big Data Era & Opportunities for Better Health Care @University of British Columbia

Role Description

The Graduate Teaching Assistant will support the course coordination and administration of the UBC Extended Learning Health Data Analytics Micro-certificate Program, a part-time, 100% online program designed for health professionals to learn foundations in data analytics in a health context. The program consists of 3 courses, each 5 weeks in duration. Each course is offered three times throughout the calendar year. We anticipate each course cohort to be up to 25 students.

Key Responsibilities

• Work with the Course instructor to ensure course content is up to date on Canvas (e.g. updating announcement dates, assignment due dates, Zoom office hours)
• Respond to student’s questions in weekly discussions on Canvas
• Mark submitted assignments according to provided rubrics with Gradebook and assign student final grades
• Attend weekly office hours as needed (1 hour/week)
• Fix and/or document any mistakes or issues identified with course content for future iterations

Qualifications

• Enrolled in a graduate program related to data science, or health sciences/medicine disciplines
• Advanced knowledge of data science, statistics and machine learning
• Education or work experience in health sciences, health data analytics
• Excellent written and verbal communication skills
• Ability to work independently and collaboratively
• Familiarity with Canvas

Requirements

• Hourly rate: GTA 1 - $40.16/hour; GTA 2 - $38.65/hour (determined by experience)
• A GTA 1 is a graduate student who has completed two (2) years’ service as a graduate student teaching assistant
• A GTA 2 is a graduate student with less than two (2) years’ service as a graduate student teaching assistant
• Number of positions available in the course: 1
• Scheduled mode of delivery: Online
• Hours per week: 5-10 hours per week
• Supervisor: Dr. Anita Palepu, Head, Department of Medicine and Co-lead for Data Science and Health Research Excellence Cluster

Application Instruction

For interested candidates, please submit your application through Workday. Note: cover letter is mandatory.