Senior Research Analyst - UBC, Victoria

Position Summary

The Senior Research Analyst will manage a team of research analysts and data analysts to perform pharmacoepidemiology studies for the BC Ministry of Health, the Canadian Network for Observational Drug Effect Studies, or the Canadian Institutes of Health Research. This position is responsible for ensuring the successful completion of research goals and achievement of deliverables for approximately 30 projects per year.

Your Impact

Plans and manages different research projects related to adverse effects of drug use and the effects of drug policy on health services utilization and health outcomes using very large administrative databases and chart data. Key duties include:

• Manages a team of research analysts and data analysts to complete research projects, including training, performance evaluations, and co-managing human resources for the Pharmacoepidemiology Group.
• Writes complex research proposals, gathers and synthesizes literature, plans feasibility analyses, and develops project work plans and timelines.
• Designs research projects and develops advanced methodology for data assembly, analysis, and presentation using statistical analysis packages such as SAS, R, and SQL.
• Produces physician prescribing portraits by patient subgroups using SAS, SQL, and R software.
• Conducts literature reviews, writes research protocols, abstracts, summary reports, conference submissions, and peer-reviewed journal articles.
• Maintains efficient communication systems among dispersed research team members and collaborates with multiple institutions, government bodies, and stakeholders.
• Interacts with users throughout the analysis, presents research results at academic conferences, publishes articles, and presents findings to the Ministry of Health and CNODES.
• Contributes to the advancement of the Pharmacoepidemiology Group by seeking new research opportunities, funding sources, and collaborations.

Who We're Looking For

Candidates must meet the following minimum qualifications or possess an equivalent combination of education and experience:

• A post-graduate degree or equivalent professional designation with a minimum of four years of related experience, or an undergraduate degree with a minimum of six years of related experience.
• Willingness to respect diverse perspectives, including perspectives in conflict with one's own.
• Demonstrates a commitment to enhancing one's own awareness, knowledge, and skills related to equity, diversity, and inclusion.
• Extensive experience with data management and programming using SAS, R, and SQL.
• Experience with advanced statistical design and dataset creation for analysis of expensive drugs for rare diseases.
• Ability to manage a team, train new team members, deal with multiple tasks, and maintain discretion and confidentiality.
• Critical understanding of issues related to health and health care analysis with excellent oral and written communication skills.

Preferred qualifications include a graduate degree in epidemiology, economics, or biostatistics, 10+ years of experience in data analysis, a strong publication record, and knowledge of pharmacoeconomic modeling.