Job Description

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Late posting
Course Lecturer (BIOS 691) Winter 2026
BIOS 691 Special Topics in Biostatistics (4 credits)
Winter 2026
BIOS 691: The aim of this course is to provide researchers with an introduction to practical Bayesian methods. Topics will include Bayesian philosophy, simple univariate models, linear and logistic regression, hierarchical models and Bayesian nonparametrics. Numerical techniques including Monte Carlo integration, sampling importance resampling (SIR), the Gibbs sampler and the Metropolis-Hastings will be covered, including programming in R, JAGS, Nimble, RStan and INLA.
Location: MC2001, 1201
Schedule: Tuesday 2:35-3:55, Thursday, 4:05-4:55
Credits: 4
Teaching Qualification Requirements:
Education: MSc (or higher) in Biostatistics or Statistics
Experience: Experience in Bayesian inference, Markov chain Monte Carlo Methods, Variational inference; knowledge of the softwares Nimble and Stan. Prior teaching experience in Biostatistics or Statistics.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.
This posting will expire at 00:00 am the day of the deadline to apply. You have until midnight the day before the deadline to apply to submit your application.
Hiring Unit:
Department of Epidemiology, Biostatistics and Occupational Health
Course Title:
Special Topics in Biostatistics
Subject Code:
BIOS 691
Location:
MC 2001, 1201
Schedule:
Tuesday 2:35-3:55, Thursday, 4:05-4:55
Deadline to Apply:
2025-11-07McGill 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.