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Health Data Analytics Graduate Teaching Assistant

Remote: 
Full Remote
Contract: 
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Offer summary

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 or health data analytics., Excellent written and verbal communication skills..

Key responsabilities:

  • Support course coordination and administration for the Health Data Analytics Micro-certificate Program.
  • Update course content on Canvas and respond to student inquiries in weekly discussions.
  • Mark assignments according to provided rubrics and assign final grades.
  • Attend weekly office hours and document any issues with course content for future iterations.

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Job description

Student (JFG)

Job Category
CUPE 2278 Teaching Assistants

Job Profile
CUPE 2278 Hourly - Graduate Teaching Assistant 2

Job Title
Health Data Analytics Graduate Teaching Assistant

Department
Research and Experimental Medicine Support | Department of Medicine | Faculty of Medicine

Compensation Range
$38.65 - $38.65 CAD Hourly

Posting End Date
March 23, 2025

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

Job End Date

Jun 9, 2025

Please note, this position has a possibility of extension.


Interested applicants are invited to send their CV, a cover letter outlining their relevant experience, and contact details for two references to the DASH Coordinator at dash.coordinator@ubc.ca by March 31, 2025.

Hours per week: up to 5 hours

Anticipated Start Date: April 7, 2025

End Date: June 9, 2025

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 through the calendar year. We anticipate each course cohort to be up to 25 students.

The courses are:

1.           Introduction to the Big Data Era & Opportunities for Better Health Care

2.           Health Data and Visualization

3.           Health Data Analysis and Machine Learning

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 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

Hourly rate:
$38.65-$40.16/hour depending on experience

Equity and diversity are essential to academic excellence. An open and diverse community fosters the inclusion of voices that have been underrepresented or discouraged. We encourage applications from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender identity or expression, racialization, disability, political belief, religion, marital or family status, age, and/or status as a First Nation, Metis, Inuit, or Indigenous person.

Required profile

Experience

Industry :
Education
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication
  • Collaboration

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