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McGill University, Assistant or Associate Professor Faculty of Medicine – Department of Epidemi

Job in quebec, Québec, Province de Québec, Canada
Listing for: The International Society for Bayesian Analysis
Full Time position
Listed on 2026-08-17
Job specializations:
  • Education / Teaching
    University Professor, Academic
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CAD Yearly CAD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: McGill University, Assistant or Associate Professor Faculty of Medicine – Department of Epidemi[...]
Location: quebec

McGill University, Assistant or Associate Professor Faculty of Medicine – Department of Epidemiology, Biostatistics and Occupational Health

Jul 12, 2018

The Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine, Mc Gill
University, invites applications for a tenure track faculty position at the rank of Assistant or Associate Professor of Biostatistics.

McGill University is one of Canada’s leading universities, and the Department of Epidemiology, Biostatistics and Occupational Health is home to one of the largest concentration of doctoral- level biostatisticians, with internationally recognized research programs in topics such as Bayesian methods, big data, causal inference, hierarchical modelling, longitudinal data, risk prediction, privacy protection, spatial models, and time series analysis. The Department is one of the top academic units for biomedical statistics in the world, and offers a vibrant research environment.

Job Duties

The successful candidate will have potential and proven ability to develop an internationally recognized research program in Biostatistics, a demonstrated ability to obtain grants for his/her own research or to contribute to the building of successful research projects in public and population health, health services research or clinical research. The candidate is expected to be actively involved in all aspects of McGill’s academic mission (research, teaching, supervision of graduate students and involvement in academic and administrative committees).

Qualifications and Education requirements

Candidates must have a doctorate in statistics or biostatistics and relevant research experience in Biostatistics. Necessary qualifications for the position include evidence of research productivity (peer-reviewed publications) and a strong commitment to excellence in teaching.

JOB DETAILS

Job Type: Tenure-track
Rank:
Assistant/Associate Professor
Job status:
Full-time
Salary:
Salary will be commensurate with qualifications and experience

Final date to receive applications:
Please submit your application electronically within 60 days of the publication of this posting

APPLICATION PROCESS

Applications must be submitted on-line at: following supporting documents are required:

• a cover letter & curriculum vitae (as 1 pdf document)

• statement of research (if including other documents, combine to make 1 pdf)

• the names and contact information of three referees

COMMITMENT TO EQUITY AND DIVERSITY

McGill 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 equity groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, Professor Angela Campbell, Associate Provost (Equity and Academic Policies) by email or phone at . All qualified applicants are encouraged to apply; however, in accordance with Canadian immigration requirements, Canadians and permanent residents will be given priority.

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Position Requirements
10+ Years work experience
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