Homewood Research Institute (HRI) invites applicants for the position of Data Analyst (full-time, permanent). HRI is an ambitious and growing charitable organization dedicated to research that will transform mental health and addiction services in Canada and around the world. HRI has attracted nationally and internationally renowned scientists to do research in post-traumatic stress disorder, addiction, concurrent disorder, post-discharge outcome monitoring and digital mental health. This work is supported by more than 18 graduate and post-doctoral trainees and 12 staff members. Through strategic partnerships with Homewood Health (a nation-wide leader in mental health and addiction services), McMaster University and St. Joseph’s Healthcare Hamilton, and with leading Scientists from Western University, CAMH, Harvard University, etc., HRI is uniquely positioned to test new discoveries in “Living Research Environments” and accelerate the process that transforms research into solutions for the real world. For more information about HRI, visit https://vimeo.com/340242195.
The HRI Data Analyst works closely with Research Associates, Research Scientists, and Investigators to ensure accurate collection, organization, documentation, analysis and sharing of data. In this role, you will be responsible for statistical analysis required for knowledge translation and exchange activities and for peer-reviewed publications. The Data Analyst is an integral member of the research and evaluation team.
As the successful applicant, you will have a Master’s degree in biostatistics or statistics with a significant biostatistics focus or equivalent, as well as:
- Experience cleaning and analyzing large administrative datasets (preferably mental health datasets)
- Advanced proficiency in statistical analysis software such as SAS, R, STATA, and/or SPSS
- Experience with a range of statistical methods, including multivariate analyses and structural equation modelling with cross-sectional and longitudinal data
- Understanding of and experience with observational causal inference (e.g., regression adjustment, matching, propensity score, stratification)
- Proficiency with the methods of handling missing data, such as multiple imputation
- Knowledge of machine learning algorithms is an asset
- Advanced proficiency in Microsoft Excel; experience with Microsoft Access is an asset
- Strong verbal and written communication skills with statisticians and non-statisticians
- Ability to write for peer-reviewed scientific publications and technical reports
- Capacity to work on multiple analytical projects concurrently
- Initiative to acquire new skills and remain current with new developments
- An interest in contributing to applied research in mental health and addiction
At HRI we are driven by our values and passionate about improving lives. Our organizational culture makes for an exceptional workplace environment and we strive to do better every day. We aspire to align ourselves with the Tri Agency Statement on Equity, Diversity & Inclusion (EDI) and encourage applications from Indigenous peoples, persons with disabilities, members of visible minorities/racialized groups, and individuals from the LGBTQ2+ community.
Applications, including a cover letter and resume, should be sent to the attention of Heather Froome, Director of Organizational & Business Development, email@example.com by July 10, 2020.