Course Lecturer (MGSC 401 001)

McGill Faculty of Medicine and Health Sciences

Montreal (administrative region)

On-site

CAD 11,000 - 13,000

Part time

3 days ago
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Job summary

McGill University invites applications to teach the course Statistical Foundations of Data Analytics for Winter 2027. The role requires expertise in AI algorithms, R-studio, and statistical learning, with a proven university teaching track record.

Qualified applicants hold PhD/Master's/Bachelor's in Business with data analytics experience; preference for Operations Management, Industrial Engineering, or Operations Research. English-language instruction is standard at McGill.

Qualifications

  • PhD (or equivalent), Master's, or Bachelor's in Business with data analytics experience.
  • Preference for Operations Management/Industrial Engineering/Operations Research.
  • Experience teaching AI, statistics, and machine learning topics; university teaching required.

Responsibilities

  • Teach Statistical Foundations of Data Analytics in Winter 2027.
  • Ranked selections based on collective agreement; adhere to eligibility rules.

Skills

AI algorithms
R-studio
statistical learning
teaching track record

Education

PhD
Master's
Bachelor's degree in Business
Operations Management
Industrial Engineering
Operations Research

Tools

R Studio

Job description

Course Details
  • Course Title: Statistical Foundations of Data Analytics
  • Subject Code: MGSC 401 001
  • Schedule: Mondays 8:35 - 11:25
  • Start Date: January 5, 2027
  • End Date: April 14, 2027
  • CL Credits: 3
  • Number of Class Hours: 39
  • Remuneration: $11,824.00
  • Location: ARMST 075
  • Deadline to Apply: October 15 at 11:59 pm

The Desautels Faculty of Management is inviting applications to teach a course in Winter 2027.

Applications will be ranked according to the collective agreement between McGill University and the MCLIU. Preference will be given to the qualified applicant with the most priority points.

Teaching Qualification Requirements
  • Education: PhD (or its equivalent), Master's, or Bachelor's degree in Business (with ample experience in data analytics courses and machine learning).
  • Preferences will be given to those holding a degree in Operations Management, Industrial Engineering, or Operations Research.
  • Experience: Candidate must be fluent in AI algorithms, R-studio, statistical learning, and must have a track record in teaching such topics. University teaching experience required.
Eligibility and Working Conditions

Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located.

McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing.

For any questions, please contact academicaffairs.mgmt@mcgill.ca

Equity & Diversity

McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, accessibilityrequest.hr@mcgill.ca.

Company Overview

Located in one of the world’s great multicultural and multilingual cities, McGill University is internationally recognized for its excellence as a leading institution of higher education and research. For nearly 200 years, through the work of dedicated people, McGill has been breaking ground in diverse fields and contributing solutions to some of the world’s most significant issues. McGillians are proud to be part of a community that is both global and local, inspired by challenge and committed to shaping a better future. McGill received a Platinum STARS rating in sustainability, is among Canada’s greenest employers, and is a top Montreal Employer.

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