Assistant Professor - Data Science Methods for Population Health and Health Systems - DLSPH
August 19, 2021
The Dalla Lana School of Public Health at the University of Toronto St-George campus invites applications for up to two full-time tenure stream faculty position in Data Science Methods for Population Health and Health Systems. Data Science is a strategic area in which the school intend to recruit a total of three additional faculty positions in the upcoming year. The appointment will be at the rank of Assistant Professor and is anticipated to commence before July 1, 2022.
The successful candidate in this search MAY BE eligible for nomination for a CRC Tier 2 Chair if they self-identify as a member of the four federally designated groups, as defined by the Employment Equity Act (women, visible minorities, persons with disabilities and Indigenous persons), as part of the University of Toronto’s implementation of its Canada Research Chairs Equity, Diversity & Inclusion Action Plan.
Tier 2 Chairs are intended for exceptional emerging scholars. Nominees should be within ten years of receiving their PhD. Applicants who are more than 10 years from having earned their highest degree (and where career breaks exist, such as maternity, parental or extended sick leave, clinical training, etc.) may have their eligibility for a Tier 2 chair assessed through the program’s Tier 2 justification process. The nominee’s research area must align with the subject matter eligibility of the Natural Sciences & Engineering Research Council (NSERC).
For further information on the federally endowed Canada Research Chairs Program, open to all nationalities, including eligibility criteria, please consult the Canada Research Chairs website. For more information about the CRC nomination process at the University of Toronto, contact Judith Chadwick, Assistant Vice-President, Research Services, at crc@utoronto.ca.
Applicants must have a Ph.D. in applied mathematics, economics, statistics, biostatistics, epidemiology, informatics, computer science, engineering, or other relevant quantitative disciplines at the time of appointment or shortly thereafter, with a demonstrated record of excellence in research and teaching. The candidate must demonstrate scientific and academic leadership in the development of new data science methods that can be applied to the improvement of population health and health systems. Demonstrated evidence of ability to work collaboratively across disciplines is an asset.
Candidates must provide strong evidence of research of an internationally competitive calibre, as evidenced by a record of contributions or publications in leading journals in the field or forthcoming publications meeting high international levels, presentations at significant conferences, accolades or awards, and strong endorsements by referees of high standing. The successful candidate will be expected to mount an innovative, competitive and independently funded research program.
Evidence of excellence in teaching is required and is demonstrated by a strong statement of teaching philosophy, the teaching dossier (with required materials outlined below), teaching accomplishments, and strong endorsements from referees.
The successful candidate will undertake undergraduate and/or graduate teaching responsibilities on the University’s Toronto St-George campus. The successful candidate will join a vibrant intellectual community of world-class scholars at Canada’s leading university. The University of Toronto offers a wide range of opportunities for collaborative and interdisciplinary research and teaching, the excitement of working with a highly diverse student population and actively encourages innovative scholarship. The Greater Toronto Area offers amazing cultural and demographic diversity and one of the highest standards of living in the world.
Established by Royal Charter in 1827, the University of Toronto is the largest and most prestigious research intensive university in Canada, located in one of the world's great cities. The University has more than 19,000 faculty and staff, some 73,000 students enrolled across three campuses, an annual budget of $1.8 billion, including $376 million in externally funded research, an additional $469 million in research funding in the affiliated teaching hospitals, and one of the premier research libraries in North America.
The Dalla Lana School of Public Health (DLSPH;http://www.dlsph.utoronto.ca/) has an illustrious history that began in the 1920’s and continued with a renaissance beginning in 2008 (see synopsis at http://www.dlsph.utoronto.ca/about/). The most prominent School of Public Health in Canada, the DLSPH now has a roster of over 1000 students. It houses the Institute of Health Policy Management and Evaluation, the Waakebiness-Bryce Institute for Indigenous Health, and the Joint Centre for Bioethics.
For more information about the Dalla Lana School of Public Health, please visit our home page: https://www.dlsph.utoronto.ca/.
Salary will be commensurate with qualifications and experience.
All qualified candidates are invited to apply online by clicking on the link. Applications must include a cover letter, curriculum vitae, writing sample, teaching dossier (including a statement of teaching philosophy, sample course materials, and teaching evaluations), and a statement outlining current and future research interests.
If you have questions about this position, please contact the Dean’s Office at acadsearch.dlsph@utoronto.ca. All application materials must be submitted through the University of Toronto’s online application system. Submission guidelines can be found at http://U of T.me/how-to-apply. Applicants must provide the name and contact information of three references. The University of Toronto’s recruiting tool will automatically solicit and collect letters of reference from each after an application is submitted (this happens overnight). Applicants remain responsible for ensuring that references submit letters (on letterhead, dated and signed) by the closing date. Applications, including reference letters, must be received by October 19, 2021.
The University recognizes that scholars have varying career paths and that career interruptions due to personal circumstances can be part of an excellent academic record. Search committee members have been instructed to give careful consideration to, and be sensitive to the impact of, career interruptions in their assessments.
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, LGBTQ2S+ persons, and others who may contribute to the further diversification of ideas.
The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment, and selection processes as accessible as possible, and provide accommodations as required for applicants with disabilities. If you require any accommodations at any point during the application process, please contact uoft.careers@utoronto.ca. In addition, the office of Health & Wellbeing Programs and Services assists with providing accommodation to persons with disabilities in the workplace.
The Canada Research Chairs Program requires institutions to collect self-identification data from all applicants, following the program’s best practices. This data is important to the University’s ability to ensure that researchers from diverse groups are able to benefit from participation in the program. As part of your application, you will be required to submit a brief Diversity Survey, accessed via the online application system. Applicants are encouraged to self-identify in any of the groups where applicable. While completion of the survey is required, providing answers to the individual survey questions is voluntary, and applicants can log a response indicating that they decline the survey. For more information, please see http://U of T.me/UP.
Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Aggregated and anonymized data regarding the applicant pool will be reported only to the chair of the selection committee, the committee’s equity advisor, and a small number of staff members in the Division of the Vice-President, Research and Innovation, for purposes of program administration and to meet reporting requirements.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
