Note: This position has been filled. Thank you to all applicants
The APEAL Lab is currently looking for a biostatistician/analyst to work on a CIHR-funded project on the relationship between depression and mortality. Closing date for applications is November 16, 2015, although the position will remain open until filled. Details are below.
The Research Associate will join Dr. Ian Colman’s research program. Dr. Colman is the Canada Research Chair in Mental Health Epidemiology, and is an Associate Professor in the School of Epidemiology, Public Health & Preventive Medicine. He directs the Applied Psychiatric Epidemiology Across the Life course (APEAL) Lab. The APEAL Lab investigates the epidemiology of common mental illnesses in the general population, with a focus on understanding longitudinal and life-course processes surrounding depression and anxiety.
The primary responsibility of the Research Associate will be to act as the analyst/statistician for a CIHR-funded project on the association between depression and long-term mortality, in collaboration with colleagues at Harvard University and the National Institutes of Health. In addition, the Research Associate may provide support for other projects in the lab, including assisting other staff, MSc and Phd students, and visiting researchers with analytical issues as they arise.
- Perform complex data analysis for a project investigating the relationship between depression and mortality, using data from the Stirling County Study. This will include combining multiple waves of the study in a survival analysis to investigate the primary association between depression and mortality, secular changes over time, moderating and mediating effect of other factors, and heterogeneity in the association between depression and mortality in various subgroups who experience differing symptoms.
- Write methods and results sections of manuscripts for peer-reviewed publications.
- Prepare methods and results sections of presentations for research conferences.
- Master’s or PhD degree in biostatistics, statistics, epidemiology, quantitative psychology, or equivalent is required.
Experience, skills and abilities
Experience with the following is necessary:
- analyzing epidemiological data and interpreting results of these analyses
- using and analyzing longitudinal data
- completing survival analyses
- using statistical software such as Stata or SAS, with demonstrated abilities in data linkage, manipulation and statistical analysis.
- creating dissemination-quality data tables and figures using Microsoft Office Word, Excel and Powerpoint
- managing analytical aspects of an epidemiological research project from proposal writing to dissemination of results
Experience with the following would be an asset:
- managing large health-related databases
- writing and editing for research, including grant applications, ethics review applications, manuscripts for peer-reviewed publication
- presenting research results at scientific conferences
- performing systematic reviews
- mental health research
- psychometric analysis
In addition to the above data analysis skills, the following qualities are essential:
- must be conscientious in attention to detail
- must have effective oral and written communication skills in English
- must be able to work within time constraints
- must be able and willing to learn new data analysis techniques
- must be proactive and willing to take initiative, as well as to follow directions
Salary will be commensurate with experience, within the range of $50,000 – $65,000
Please send a CV and the names of three references to Ian Colman (email@example.com) before November 16, 2015. The position will remain open until filled.