Graduate Teaching Assistant- Health Data Analytics Course: Health Data Analysis and Machine Learning

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Note: Applications will be accepted until 11:59 PM on the Posting End Date.

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At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary conditions for a rewarding career.

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

Project Overview: 
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