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Position Summary:
The Scientist will work under the supervision of Dr. Kellie
Murphy, Clinical Investigator in a multi-disciplinary,
collaborative research environment dedicated to the
improvement of women’s and neonatal health in Canada and
internationally. The position will be full time with 50%
dedicated to independent research and the remainder to
collaboration and support of other projects within the
Department of Obstetrics and Gynaecology, teaching and
supervision of graduate students through Institute of Health
Policy, Management and Evaluation (IHPME) at University of
Toronto.
This position will commence at the rank of Assistant
Professor, or higher, at the University of Toronto.
Duties and Responsibilities:
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Work includes independent research in the field of
Obstetrics and Gynecology, with the expectation of obtaining
independent research funding and publication in
peer-reviewed journals
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Co appointment and active participation in Institute of
Health Policy, Management and Evaluation including formal
graduate teaching and involvement on graduate student thesis
committees
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Provide guidance and performs collaborative quantitative
analyses of multiple ongoing projects in the Department of
Obstetrics and Gynaecology
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Provide expertise to research teams in the design, analysis,
and interpretation of research studies in a collaborative
role.
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Contributes to the preparation of research reports,
including documentation of study design and statistical
methodology, and articles for publication.
Education and Experience:
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PhD in Biostatistics or Epidemiology, with interest in
designing studies for research questions related to health,
quantitative methodology for health research, and experience
with statistical applications in one or more areas in
population, clinical, or health services research
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Experience in a research environment including a thorough
understanding of research methodology, clinical data,
advanced statistical methodology and statistical analysis
software applied to research
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Experience working with large databases required
Skills and Qualifications:
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Demonstrated ability to independently design and lead new
projects
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Solid training in epidemiological methods and study design
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Strong quantitative analytical skills, including ability to
conduct multilevel modelling, longitudinal analysis and
spatial analysis with Markov chain Monte Carlo methods, and
other statistical techniques and computational skills
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Knowledge of statistical analysis software and experience
working with large databases
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Strong problem solving and decision making skills
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Excellent communication (oral and written), interpersonal,
organizational and time management skills
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Familiarity in working with confidential information;
maintaining professionalism, diplomacy and tact under high
pressure situations
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Ability to work with an interdisciplinary research team,
including clinicians, laboratory staff, and scientists
Online applications can be submitted at:
http://contact.mshri.on.ca/hr/DEFAULT.ASP?page=jobDetail&job=856
In accordance with Institute’s policy and legislated health
and safety requirements, employment is conditional upon
the verification of credentials, completion of a health
review, and demonstrating proof of immunity and vaccination
status of vaccine-preventable diseases.
The Lunenfeld-Tanenbaum Research Institute is a scent
sensitive environment and all members of the community are
expected to refrain from wearing or using scented products
while visiting or working at the Institute. We also support a
barrier-free workplace supported by the Institute’s
accessibility plan, accommodation and disability management
policies and procedures. Should you require accommodation at
any point during the recruitment process, including accessible
job postings, please contact the Lunenfeld-Tanenbaum Human
Resources Department. |
