CourseLecturer(BIOS691)

**Please refer to the[How to Apply for a Job (for External Candidates)](https://www.mcgill.ca/hr/files/hr/apply_at_mcgill_university_-_guide_for_external_candidates_en.pdf) job aid for instructions on how to apply.** **If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).** **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