|
Multiple Assistant Professors - Data Science Methods for
Population Health & Health Systems
Date Posted: 10/04/2022
Closing Date: 11/21/2022 or until filled
Req ID: 27446
Job Category: Faculty - Tenure Stream (continuing)
Faculty/Division: Dalla Lana School of Public Health
Department: Dalla Lana School of Public Health
Campus:St. George (Downtown Toronto)
The Dalla Lana School of Public Health (DLSPH) at the
University of Toronto St-George campus invites applications
for up to three (3) full-time tenure stream faculty positions
in Data Science Methods for Population Health and Health
Systems. The appointments will be at the rank of Assistant
Professor, with an expected start date of July 1, 2023.
The
successful candidate in this search MAY BE eligible for
nomination for to a Canada Research Chair (CRC) Tier 2 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 Peoples) or
as trans, non-binary, or Two-Spirit, 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
Science & Engineering Research Council (NSERC).
Data Science is a fast-expanding strategic area at the DLSPH
for which the school intend to have recruited a total of four
new faculty positions in this area by the end of this year.
The DLSPH is advancing data science methodologies to address
population health challenges, improve health systems and
understand how these emerging methods and technologies impact
health equity and health policy.
The DLSPH hosts the Canadian training program in Artificial
Intelligence for Public Health (AI4PH), the Institute
for Pandemics,
and is a major partner of the Data
Sciences Institute,
a central hub and incubator for data science research,
training, and partnerships at the University of Toronto. The
DLSPH offers a vibrant research environment and has
affiliations with the Vector
Institute, ICES,
the Schwartz
Reisman Institute for Technology and Society,
and major data science initiatives at affiliated
teaching hospitals �
offering a broad range of opportunities for methodological and
software development and collaborations in open source and
data sciences to inform policies, promote social justice,
deliver precision public health, design better urban
environments and other population health and health system
areas � using, for example, public health surveillance data,
administrative data and electronic medical records, genomics
data, social media data, environmental exposure data. Faculty
have access to a wide array of computational resources
including access to national high performance and super
computing resources such as the Digital
Research Alliance of Canada.
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 by high-impact research that addresses important
problems in population health and health systems through
innovation in data science methods. Evidence of readiness for
entrepreneurship (e.g., patents, research commercialization,
research applications/partnerships beyond academia) and
demonstrated ability to work collaboratively across
disciplines and sectors, are valued assets. We seek
candidates whose research and teaching interests complement
and enhance our existing departmental strengths.
Candidates must provide strong evidence of research excellence
of an internationally competitive calibre, as evidenced by a
record of contributions or publications in leading journals in
the field or a research pipeline that is at 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,
teaching accomplishments, the teaching dossier (with required
materials outlined below) submitted as part of the
application, 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 the 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 DLSPH is a Faculty of the University of Toronto that
originated as one of the Schools of Hygiene begun by the
Rockefeller Foundation in 1927. The School, which plays a
critical role in the COVID-19 pandemic response, went through
a dramatic renaissance after the 2003 SARS crisis and it is
now the largest public health school in Canada, with more than
850 faculty, 1,000 students, and research and training
partnerships with institutions throughout Toronto and the
world. The School contributes to improving population health
and health systems through discoveries and innovation in data
science and AI, climate change response, implementation and
improvement sciences, preventable disease and wellness,
sustainable and equitable health systems, global and
Indigenous health, among many other areas.
For more information about the Dalla Lana School of Public
Health, please visit our home page: https://www.dlsph.utoronto.ca.
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.
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://UofT.me/how-to-apply.
Your CV and cover letter should be uploaded into the dedicated
fields. Please combine additional application materials into
one or two files in PDF/MS Word format.
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 November 21, 2022 or until filled.
The University recognizes that scholars have varying career
paths and that career interruption 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 can benefit from participation in the program.
As part of your application, you will have to complete a brief
Diversity Survey, accessed via the online application system.
Applicants are encouraged to self-identify in any of the
groups where applicable. While submission 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://UofT.me/how-to-apply.
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.
Please see link to apply:
Assistant Professor - Data Science Methods for Population
Health & Health Systems (utoronto.ca)
|
