Course Lecturer (BIOS 691) Department of Epidemiology, Biostatistics and Occupational Health - Fall

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Course Lecturer (BIOS 691) Fall 2026

BIOS 691 Special Topics in Biostatistics (4 credits)

Fall 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, 1135

Schedule:  Tuesday 10:35am-12:55pm, Thursday, 11:35am-12:55pm

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.