Assistant Professor, Teaching Stream, Data Science

Overview

The Department of Statistical Sciences in the Faculty of Arts and Science at the University of Toronto invites applications for a full-time teaching stream position in the area of Statistical Sciences. The appointment will be at the rank of Assistant Professor, Teaching Stream with an anticipated start date of July 1, 2026.

This search aligns with the University\’s commitment to strategically and proactively promote diversity among our community members (Statement on Equity, Diversity & Excellence). Recognizing that Black, Indigenous, and other racialized communities have experienced inequities that have developed historically and are ongoing, we strongly welcome and encourage candidates from those communities to apply.

Responsibilities

• Teach statistics, biostatistics, or data science within a degree-granting program, at the undergraduate level for students specializing in statistics or related fields with strong mathematical and computational components. This includes experience in course design, lecture preparation and delivery, curriculum development, and the creation of online educational materials.
• Demonstrate a strong commitment to pedagogical excellence and innovation, evidenced by engagement in teaching-related activities and pedagogical inquiry. A demonstrated interest in advancing teaching practices and curriculum development is essential.
• Apply statistical methods in data science, machine learning, or artificial intelligence with preparation and delivery of course content that incorporates real-world data and applied methods. Preference for candidates with experience in interdisciplinary collaboration as a statistician or data scientist on projects involving genuine applications of statistical or data science methods.
• Contribute to supervision of undergraduate research projects and assist in managing large enrollment courses and teaching assistants; collaborate in course coordination and teaching.

Qualifications

• Must hold a PhD in Statistics, Computer Science, Data Science, or a closely related discipline by the time of appointment, or shortly thereafter, with a demonstrated strong record of excellence in teaching.
• Expertise in the application of statistical methods in data science, machine learning, or artificial intelligence, with experience in preparing and delivering course content that uses real-world data.
• Evidence of excellence in teaching and commitment to pedagogical scholarship, demonstrated through teaching accomplishments such as teaching awards, peer-reviewed presentations at major conferences, a comprehensive teaching dossier, and strong letters of reference from referees of high standing.
• Preferred qualifications include interest in supervising undergraduate research, experience managing large enrollment courses and teaching assistants, and a collaborative approach to course coordination.

Salary and Application Process

Salary will be commensurate with qualifications and experience.

All qualified candidates are invited to apply online at Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/30220) and must submit a cover letter; a current curriculum vitae; and a complete teaching dossier to include a teaching statement, sample syllabi and course materials, and teaching evaluations.

Equity, diversity and inclusion are essential to academic excellence as articulated in the University of Toronto\’s Statement on Equity, Diversity and Excellence. We seek candidates who share these values and who demonstrate throughout the application materials their commitment to advancing equity, diversity, inclusion, and the promotion of a respectful and collegial learning and working environment.

Applicants must arrange to have three letters of reference (dated, on letterhead and signed) uploaded through Academic Jobs Online directly by the writers by the closing date. At least one reference letter must primarily address the candidate\’s teaching.

All applicant materials, including recent signed reference letters, must be received by November 17, 2025.

Contact and Resources

For more information about the Department of Statistical Sciences, please visit our website at https://www.statistics.utoronto.ca or contact Katrina Mintis at katrina.mintis@utoronto.ca.

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Diversity and Accessibility Statements

The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. Diversity statements and accessibility initiatives are described by the University in related materials. The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). Accommodations are provided for applicants with disabilities upon request, during the recruitment and hiring process. If you require accommodations at any point, please contact uoft.careers@utoronto.ca.