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McGill University – Postdoctoral Fellow
Company Information: The DEPRESSD Project at McGill University, with Dr. Brett Thombs and Dr. Andrea Benedetti
The DEPRESsion Screening Data (DEPRESSD) Project (https://www.depressd.ca) is a collaborative endeavor, set up by Drs. Brett Thombs and Andrea Benedetti, to evaluate the diagnostic accuracy of depression screening tools and answer other important mental health research questions using individual participant data meta-analyses (IPDMAs). The DEPRESSD Project includes almost 400 investigators from 60 countries who have contributed datasets. DEPRESSD investigators publish studies on screening tool accuracy, statistical methods for IPDMA, and other methodological and meta-research studies that advance work on screening questionnaires and their application.
Trainee-led DEPRESSD studies have been published in top journals, including (1) studies on the accuracy of the PHQ-9 (Levis et al., BMJ, 2019; Negeri et al., BMJ, 2021), the PHQ-2 (Levis et al., JAMA, 2020), the EPDS (Levis et al., BMJ, 2020), and the HADS-D (Wu et al., BMJ, 2021); (2) statistical research evaluating models for IPDMA of ordinal screening questionnaires, modelling missing data for IPDMA, estimating sample parameters from incompletely reported data, and using Optimal Test Assembly (OTA) methods to create short-form measure; and (3) meta-research on on bias from data-driven cutoff selection, selective cutoff reporting, using depression screening tools for prevalence estimation, the comparative performance of commonly used major depression diagnostic interviews, adherence to reporting standards in diagnostic accuracy studies, and factors influencing data contribution in IPDMA studies, among others (52 total DEPRESSD studies; 5,159 citations).
Position Title: Postdoctoral Fellow
Duties and Responsibilities: Start date flexible.
– Leading projects and preparing manuscripts for publication.
– Developing and maintaining code for analyzing DEPRESSD datasets.
– Participating in writing statistical analysis plans and grants.
– Working within a team of research assistants, students, and other fellows and providing support to the group.
Position Qualifications: – PhD in Epidemiology, Biostatistics, Quantitative Psychology or a related field
– Interest in gaining skills in combined clinical and methodological aspects of research
– Excellent coding skills
– Ability to work as part of a team
– Excellent communication skills
Salary Range: 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.
Benefits:
Website: https://www.depressd.ca/
Application Information: Interested candidates should submit (1) a letter of interest, (2) reprints or preprints of representative published articles, (3) a curriculum vitae, (4) an unofficial transcript, and (5) contact information for three references to Nadia González Domínguez (nadia.gonzalez@mail.mcgill.ca), the DEPRESSD Project Coordinator.
Contact Email: nadia.gonzalez@mail.mcgill.ca
Application Deadline:
Company NameMcGill University
Company Information
The DEPRESSD Project at McGill University, with Dr. Brett Thombs and Dr. Andrea Benedetti
The DEPRESsion Screening Data (DEPRESSD) Project (https://www.depressd.ca) is a collaborative endeavor, set up by Drs. Brett Thombs and Andrea Benedetti, to evaluate the diagnostic accuracy of depression screening tools and answer other important mental health research questions using individual participant data meta-analyses (IPDMAs). The DEPRESSD Project includes almost 400 investigators from 60 countries who have contributed datasets. DEPRESSD investigators publish studies on screening tool accuracy, statistical methods for IPDMA, and other methodological and meta-research studies that advance work on screening questionnaires and their application.
Trainee-led DEPRESSD studies have been published in top journals, including (1) studies on the accuracy of the PHQ-9 (Levis et al., BMJ, 2019; Negeri et al., BMJ, 2021), the PHQ-2 (Levis et al., JAMA, 2020), the EPDS (Levis et al., BMJ, 2020), and the HADS-D (Wu et al., BMJ, 2021); (2) statistical research evaluating models for IPDMA of ordinal screening questionnaires, modelling missing data for IPDMA, estimating sample parameters from incompletely reported data, and using Optimal Test Assembly (OTA) methods to create short-form measure; and (3) meta-research on on bias from data-driven cutoff selection, selective cutoff reporting, using depression screening tools for prevalence estimation, the comparative performance of commonly used major depression diagnostic interviews, adherence to reporting standards in diagnostic accuracy studies, and factors influencing data contribution in IPDMA studies, among others (52 total DEPRESSD studies; 5,159 citations).
Position TitlePostdoctoral Fellow
Duties and Responsibilities
Start date flexible.
- Leading projects and preparing manuscripts for publication.
- Developing and maintaining code for analyzing DEPRESSD datasets.
- Participating in writing statistical analysis plans and grants.
- Working within a team of research assistants, students, and other fellows and providing support to the group.
Position Qualifications
- PhD in Epidemiology, Biostatistics, Quantitative Psychology or a related field
- Interest in gaining skills in combined clinical and methodological aspects of research
- Excellent coding skills
- Ability to work as part of a team
- Excellent communication skills
Salary RangeSalary 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.
Position or Company Websitedepressd.ca
Application Instructions
Interested candidates should submit (1) a letter of interest, (2) reprints or preprints of representative published articles, (3) a curriculum vitae, (4) an unofficial transcript, and (5) contact information for three references to Nadia González Domínguez (nadia.gonzalez@mail.mcgill.ca), the DEPRESSD Project Coordinator.