Course Lecturer – Special Topics in Biostatistics (BIOS 691)

About the role

The Department of Epidemiology, Biostatistics and Occupational Health at McGill University seeks a Course Lecturer for BIOS 691 – Special Topics in Biostatistics in the Fall 2026 term. The lecturer will introduce researchers to practical Bayesian methods through a four‑credit course.

Key responsibilities

• Deliver lectures on Tuesday (10:35 am‑12:55 pm) and Thursday (11:35 am‑12:55 pm) at MC2001, room 1135.
• Present course topics including Bayesian philosophy, univariate models, linear and logistic regression, hierarchical models, and Bayesian non‑parametrics.
• Teach numerical techniques such as Monte Carlo integration, SIR, Gibbs sampling, and Metropolis‑Hastings.
• Guide students in programming with R, JAGS, Nimble, RStan, and INLA.

Required profile

• MSc or higher in Biostatistics or Statistics.
• Demonstrated experience in Bayesian inference, Markov chain Monte Carlo methods, and variational inference.
• Knowledge of Nimble and Stan software.
• Prior teaching experience in biostatistics or statistics.
• Authorization to work in Canada and willingness to work in Quebec.
• Fluent English communication, both verbal and written.

Required skills

• Bayesian inference
• Markov chain Monte Carlo (MCMC)
• Variational inference
• Monte Carlo integration
• Sampling importance resampling (SIR)
• Gibbs sampler
• Metropolis‑Hastings algorithm
• R programming
• JAGS
• Nimble
• RStan
• INLA