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Dr. Brett Thombs
Jewish General Hospital
https://www.depressd.ca/brettthombs
Dr. Andrea Benedetti
McGill University Health Centre
https://www.depressd.ca/andreabenedetti
The DEPRESsion Screening Data (DEPRESSD) Project (https://www.depressd.ca)
is a collaborative endeavor that was set up by Drs. Brett
Thombs and Andrea Benedetti, who partnered with local and
international experts to evaluate the diagnostic accuracy of
depression screening tools by conducting individual
participant data meta-analyses (IPDMAs). To date, the DEPRESSD
Project has been funded by 8 CIHR
grants and includes over 300 investigators from 58 countries
with numbers growing as more data are accrued. The DEPRESSD
project has accumulated large databases for the most commonly
used depression screening tools in primary care (PHQ-9; 105
studies; 46,277 participants), perinatal care (EPDS; 59
studies; 15,593 participants), hospital care (HADS-D; 102
studies; 31,679 participants) and elderly care (GDS; initial
database in progress).
The DEPRESSD team is also proposing an
International
MEntal health ASsessment REsearch (i-MEASRE) centre at the
Jewish General Hospital to
launch new shared databases for tools to assess other key
mental disorders (general anxiety disorder, PTSD) and
cognitive impairment and dementia. The goal is to use advanced
cutting-edge statistical methods for IPDMA with mental health
and neurocognitive screening tools to increase efficiency and
clinical applicability of analyses, using the i-MEASRE Data
Platform.
We are currently seeking a full-time Analytical Research
Coordinator and a Postdoctoral Fellow to join the
team.
The tasks of the Analytical Research Coordinator will include:
·
Developing and applying
coding manuals as part of the systematic review process
·
Corresponding with data
contributors to obtain all necessary documentation to include
their data in the project (e.g., letter of agreement, original
patient data)
·
Transforming raw data into
a uniform format for use in the project, based on an existing
codebook
·
Basic data analysis,
including verifying that data submitted to the project can be
used to replicate the results from the original studies,
corresponding with data contributors when necessary to resolve
any discrepancies
·
Acting as a liaison
between data contributors, Principal Investigators, and other
members of the international collaborating team
·
Contributing to drafting
manuscripts for publication.
The ideal candidate for the ARC position will meet the
following qualifications:
·
A Master’s degree in
Epidemiology, Biostatistics, Public Health or a related field
-
Research experience
in the health sciences, including data management
-
Good interpersonal
skills and a strong capacity for teamwork
-
Proficient in
Microsoft Office
-
Basic programming
skills (e.g., SPSS, R)
-
Excellent
organizational and communication skills
Salary and Duration:
Salary to be negotiated based on relevant experience and
training. This is a one-year position with the possibility of
extension based on mutual agreement and funding.
Start Date:
September 2020 (flexible); Initial remote working may be
possible given the current COVID-19 situation.
To apply:
Interested candidates should submit a cover letter, a
curriculum vitae, an unofficial transcript, a writing sample,
and contact information for up to three references to
Sheryl Sun:
ying.sun2@mail.mcgill.ca.
The tasks of the Postdoctoral Fellows will include:
·
Develop and maintain code
necessary to analyze data from IPDMAs
·
Lead projects and prepare
manuscripts including tables and figures
·
Participate in writing
statistical analysis plans, publications and grants
·
Work within a large team
of research assistants, students, and post-docs, and provide
support to the group
The ideal candidate will meet the following qualifications:
·
A PhD in Epidemiology,
Biostatistics, Quantitative Psychology or a related field
·
Excellent programming
skills
·
Ability to work as part of
a team
·
Excellent communication
skills
·
Research experience
working with large datasets
Not required, but an
asset:
·
Ability to code in SPSS
·
Previous experience with
meta-analysis or individual participant data meta-analysis
Salary and Duration:
Salary to be negotiated based on relevant experience and
training. This is intended to be a two-year fellowship with
second year contingent upon mutual agreement.
Start Date:
September 2020 (flexible); Initial remote working may be
possible given the current COVID-19 situation.
To apply:
Interested candidates should submit a letter of interest,
reprints or preprints of representative published articles, a
curriculum vitae, an unofficial transcript, and contact
information for three references to
Sheryl Sun:
ying.sun2@mail.mcgill.ca.
Both positions will remain open until filled.
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