Graduate Teaching Assistant; GTA): NLP Extraction and Analysis of Clinical Documents Course
Student (JFG)
Job Category
CUPE 2278 Teaching Assistants Job Profile
CUPE 2278 Hourly - Graduate Teaching Assistant 2
Job Title
Graduate Teaching Assistant (GTA): NLP Extraction and Analysis of Clinical Documents Course
Department
Research and Experimental Medicine Support | Department of Medicine | Faculty of Medicine
Compensation Range
$38.65 - $38.65 CAD Hourly
Posting End Date
January 18, 2026
Note: Applications will be accepted until 11:59 PM on the Posting End Date.
Job End Date
June 8, 2026Hours per week: 5-7 hours
Anticipated
Start Date:
April 6, 2026
End Date: June 8, 2026
Supervisor: Dr. Anita Palepu, Head, Department of Medicine and Co-lead for Data Science and Health Research Excellence Cluster
Project Overview:
The NLP Graduate Teaching Assistant will support the course coordination and administration of the UBC Extended Learning Micro-certificate Program:
Natural Language Processing to Improve Patient Care, a part-time, 100% online program designed for health professionals to learn foundations in data analytics and artificial intelligence in a health context. The program consists of 3 courses, each 5 weeks in duration. Each course is offered three times through the calendar year. We anticipate each course cohort to be up to 25 students.
The courses are:
· Overview of NLP and Large Language Models
· Extraction and Analysis of Clinical Documents
· Analysis of User Generated Content
A Graduate Teaching Assistant (GTA) is needed for each course.
It is possible to be a GTA for one course and one offering (~7 weeks employment), however priority will be given to applicants who can commit to more than one course or offering.
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 natural language processing, data science, statistics and machine learning
· Education or work experience in health sciences, health data sets
· Excellent written and verbal communication skills.
· Ability to work independently and collaboratively
· Familiarity with Canvas, Jupyter notebook
Salary:
$38.65-$40.16/hour depending on experience
Application Process:
Interested candidates should submit their CV, a cover letter detailing their relevant experience, and contact information for two references.
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