Employment Opportunities

The Lunenfeld-Tanenbaum Research Institute (LTRI) of Sinai Health, a University of Toronto-affiliated research centre, is seeking two (2) emerging leaders in the broad area of Population Health Data Science. The appointments will be for Full-Time Principal Investigators, rank equivalent to Assistant or Associate Professors, with the anticipated starting date of September 1, 2026, or a date to be mutually agreed upon. The LTRI provides competitive start-up packages and salaries, commensurate with experience and qualifications.

We seek applicants who will develop independent, outstanding and innovative Population Health Data Science research programs. We will consider applicants spanning all areas of Population Health Data Science, including complex disease epidemiology, infectious disease research, risk prediction modelling, population and medical data linkage, geospatial data mining, multi-omics data integration, and artificial intelligence (AI) applications in health sciences, such as causal machine learning, deep learning for medical imaging, generative AI and more. The positions are open to both those who are specialized in methodological development, as well as those focused on innovative applications to impactful population health issues. The health topics include but are not limited to perinatal and maternal-child health, cancers, cardiometabolic conditions, autoimmune diseases and other complex health issues.

Application deadline: October 20, 2025

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The DEPRESSD project, a collaborative endeavour set up by Drs. Brett Thombs and Andrea Benedetti at McGill University to evaluate the diagnostic accuracy of depression screening tools and answer other important mental health research questions using individual participant data meta-analyses (IPDMAs), is seeking a full-time Statistical Analyst.

The position will involve the following activities:

• Conducting data analyses, including descriptive statistics and generalized linear modes, accounting for participant clustering and missing data with IPDMA analyses
• Designing, programming, and running simulation studies to address biostatistical
  methodologic objectives
• Contributing to drafting manuscripts for publication (particularly methods and results
  sections)
• Working within a team of research assistants, students, and other analysts and providing
  support to the group

The ideal candidate will have the following qualifications:

• A Master’s degree in Biostatistics, Epidemiology, Public Health, Quantitative
  Psychology, or any other field focused on data management and quantitative analysis
• Strong analytical skills
• Research experience, including data management
• Good interpersonal skills and a strong capacity for teamwork
• Good programming skills (e.g., SPSS, R)
• Excellent organizational and communication skills

Application deadline: Accepting applications now.

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The Department of Mathematics at Wilfrid Laurier University invites applications for a tenure-track faculty position at the Assistant Professor level in Mathematics or Statistics, beginning January 1, 2026, subject to budgetary approval. The primary campus location for this position is Waterloo, however teaching responsibilities may include instruction of students at the Brantford and Milton campus via virtual modes of delivery.

Successful applicants for this position must have:

• Doctorate (PhD) in Statistics, Mathematics or a closely related area
• Research and teaching expertise in Mathematics or Statistics
• Outstanding research record or strong evidence of potential to develop an outstanding research program, including supervision of undergraduate and graduate students, and ability to attract external funding
• Excellent teaching record or strong evidence of potential teaching excellence. Preference will be given to applicants who can contribute to the Department’s teaching needs in Statistics or Data Analytics

Application deadline: August 10, 2025

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The University of Alberta is pursuing an Artificial Intelligence (AI) Cohort Hire initiative to hire 21 faculty members doing AI and Machine Learning (ML) research across a range of disciplines and departments. AI/ML has the potential to transform almost all fields of study within the University and almost all aspects of society outside the University. As part of this AI Cohort Hire we are looking for scholars who are actively pursuing this transformational capacity of AI/ML within their own disciplines. In particular, researchers pursuing AI/ML advances within science, healthcare, robotics and automation, and the impact of these advances on society are priority areas for this AI Cohort Hire. AI/ML impacting other disciplines will also be considered.

The successful candidates must hold a PhD (or equivalent) degree by the appointment date. They are expected to have demonstrated research potential strong enough for a promising nomination as a Canada CIFAR AI Chair, typically evidenced by publications in top venues (conferences or journals) within their field. Their research accomplishments should clearly include fundamental advances in AI/ML or fundamental advances in how AI/ML is applied within their discipline. They should also have strong communication skills and demonstrated commitment to highly effective graduate and undergraduate teaching. They will be expected to establish their own funded research programs, supervise graduate students, and teach graduate and undergraduate courses as expected by their home department.

Application deadline: Open until filled.

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