Course Lecturer (BIOS 691) Department of Epidemiology, Biostatistics and Occupational Health - Fall 2026

McGill University • Montreal, QC

5d • Onsite

About The Position

This course, BIOS 691 Special Topics in Biostatistics (4 credits), aims 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. The course is scheduled for Fall 2026 and will be held at MC2001, 1135. Class times are Tuesdays from 10:35 am to 12:55 pm and Thursdays from 11:35 am to 12:55 pm.

Requirements

• MSc (or higher) in Biostatistics or Statistics.
• Experience in Bayesian inference, Markov chain Monte Carlo Methods, Variational inference.
• Knowledge of the software Nimble and Stan.
• Prior teaching experience in Biostatistics or Statistics.
• Authorized to work in Canada.
• Willing to work in the province of Quebec at the campus where the position is based.
• Proficient in English communication, both verbally and in writing.

Responsibilities

• Teach BIOS 691 Special Topics in Biostatistics course.
• Cover topics including Bayesian philosophy, simple univariate models, linear and logistic regression, hierarchical models and Bayesian nonparametrics.
• Instruct on numerical techniques such as Monte Carlo integration, sampling importance resampling (SIR), the Gibbs sampler and the Metropolis-Hastings.
• Provide programming instruction in R, JAGS, Nimble, RStan and INLA.

Benefits

• McGill University implements an employment equity program.
• McGill University is committed to equity and diversity within its community.
• McGill University offers accommodations for persons with disabilities.

What This Job Offers

• Career Level: Mid Level