Research Assistant

University of Regina

Regina

Hybrid

CAD 28,000 - 34,000

Part time

45 hours ago
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Job summary

University of Regina is seeking a Research Assistant to support AI-bias-related research in the Hill Levene School of Business. The role focuses on literature reviews, data collection, and statistical analysis using SPSS/SEM, with manuscript preparation for conferences and journals.

Ideal candidates are graduate students with experience in HR analytics, data analysis, and knowledge of AI tools. This on-campus, term-based position offers CUPE 2419 benefits and requires enrollment in a relevant

Qualifications

  • Currently enrolled in a graduate program (preference given to Business Administration students).
  • Experience with HR data analytics.
  • Experience conducting data analysis using SPSS.
  • Knowledge of AI applications and tools.

Responsibilities

  • Conduct literature review aligned with the project’s scope.
  • Assist with data collection.
  • Support statistical analysis using SPSS and SEM.
  • Assist in preparing manuscripts for conference presentation and journal submission.

Skills

HR data analytics
Data analysis
AI applications

Education

Graduate student enrollment

Tools

SPSS
SEM

Job description

Research Assistant

Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening.


Position Details

Posting Summary Competition Number 20260694SS Position Title Research Assistant Faculty/Department Hill Levene School of Business Unit Hill Levene School of Business- Other Employee Group CUPE 2419 CUPE 5791 Job Family Category Student Number of Vacancies 1 Position Summary This project focuses on AI biases, requiring the candidate to be knowledgeable about widely used AI tools.


Job Duties include



  • Conduct literature review aligned with the project’s scope

  • Assist with data collection

  • Support statistical analysis using SPSS and SEM

  • Assist in preparing manuscripts for conference presentation and journal submission


Position Requirements



  • Currently enrolled in a graduate program (preference given to Business Administration students)

  • Experience with HR data analytics

  • Experience conducting data analysis using SPSS

  • Experience performing literature reviews

  • Knowledge of AI applications and tools


Physical Demands Pay Grade As Per CUPE 2419 Salary Range As Per CUPE 2419 Collective Agreement Status Term Work Hours Total 200 hoursfor the work term. Course Modality Course Dates and Time Duration (if Term/Temporary) Dec 31 2026 Full-Time/Part-Time Part Time Preference Posting No Preference Target Posting Not Targeted Additional Information Contact Information Job Open Date 09/03/2026 Job Close Date 09/09/2026 Open Until Filled No Special Application Instructions


Under Immigration, Refugees and Citizenship Canada (IRCC) Regulations the University of Regina is required to verify that International Students are eligible to work on campus prior to being hired. To confirm this eligibility, International Students are requested to contact UR International - Student Services to obtain a \"Verification of Academic Status for the Eligibility to Work on Campus\" letter that must be provided to the hiring manager prior to hiring. These letters must be updated each semester and/or as circumstances change.


If you require further information regarding this competition please contact the faculty/department you are applying to.


Diversity Statement The University of Regina is committed to an inclusive workplace that reflects the richness of the community that we serve. The University welcomes applications from all qualified individuals, including individuals within the University’s employment equity categories of women, persons with disabilities, members of visible minorities, Indigenous persons, individuals of diverse gender and sexual orientation and all groups protected by the Human Rights Code.


Reference Letter

Reference Letter Minimum References Maximum References


Supplemental Questions

Required fields are indicated with an asterisk (*)


Documents Required

Required Documents



  • Resume/Curriculum Vitae

  • Cover Letter


Optional Documents

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