University of Toronto, Statistical Sciences

Position ID:UofT-Statistical Sciences-ASSISBIO [#14922, STA17#1]
Position Title: Assistant Professor, Statistics and Biosciences
Position Type:Tenured/Tenure-track faculty
Position Location:Toronto, Ontario M5S 3G3, Canada [map]
Subject Areas: Statistics
Appl Deadline:2019/11/25help popup finished (2019/10/02, finished 2020/03/31, listed until 2020/04/02)
Position Description:    

*** this position has been closed, and no new applications will be accepted. ***

The Department of Statistical Sciences in the Faculty of Arts and Science at the University of Toronto invites applications for a full-time tenure stream position in Statistics with applications in the area of Biosciences. The appointment will be at the rank of Assistant Professor and will commence on July 1, 2020 or shortly thereafter.

We are interested in candidates with research interests in one or several of statistical genetics and genomics, electronic health records (EHR), population health, multi-omic analysis and methods and data integration, whose research and teaching interests complement and strengthen our existing departmental strengths .

Applicants must have earned a PhD degree in Statistics, Biostatistics or a related area by the time of appointment, or shortly thereafter, with a demonstrated record of excellence in research and teaching. Excellence in research is evidenced primarily the quality of published or forthcoming papers in top ranked and field-relevant academic journals, the submitted research statement, presentations at conferences, research awards and accolades, and strong endorsements by referees of top international stature. Evidence for excellence in teaching is based on strong letters of reference, teaching accomplishments and a teaching dossier containing a strong statement of teaching philosophy, teaching evaluations and sample syllabi.

The University of Toronto is an international leader in statistical science research and education. The successful candidate will be expected to conduct outstanding independent, innovative research at the highest international level; to establish a strong competitive externally funded independent research program; to demonstrate a strong commitment to undergraduate and graduate teaching, and to contribute to the enrichment of the department. The successful candidate will join a vibrant intellectual community of world-class scholars at Canada’s leading university. The Greater Toronto Area offers amazing cultural and demographic diversity and one of the highest standards of living in the world.

Salary will be commensurate with qualifications and experience. 

Applicants are to apply online at AcademicJobsOnline and submit a cover letter; a current curriculum vitae; a list of publications; a research statement outlining current and future research interests; a recent writing sample (of no more than 15 pages); and a teaching dossier to include a teaching statement, sample course syllabi, and teaching evaluations. Applicants must also arrange to have at least three letters of reference (on letterhead and signed) uploaded through AcademicJobsOnline directly by the writers. 

All application materials, including signed reference letters, must be received by November 25, 2019.

For more information about the Department of Statistical Sciences  please visit our websites at or contact Katrina Mintis, Department of Statistical Sciences at 

The University of Toronto is strongly committed to diversity within its community and especially welcomes applications from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, LGBTQ persons, and others who may contribute to the further diversification of ideas.

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

Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the position description.

Further Info:
100 St. George Street, Room 6018
Sidney Smith Hall
Toronto, Ontario M5S 3G3

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