Research II

This position will support academic researchers in the province through the Alberta SPOR SUPPORT Unit and Alberta Health Services Provincial Research Data Services and may support specific academic research groups depending on need, utilizing primarily administrative data sources available within the health care system including Connect Care. This successful candidate will use their expert programming skills (e.g. SQL, Python, R, SAS) and statistical knowledge to transform data into analytical datasets and perform statistical analysis to collaborate with clinical and applied health researchers. This includes deriving complex concepts and working with many different health related datasets (e.g. Discharge Abstract Database, National Ambulatory Care Reporting System, Pharmaceutical Information Network, Laboratory, Vital Statistics) in an organized manner and with great attention to detail. The successful candidate will be expected to perform statistical analysis (descriptive statistics and more advanced analysis including inferential and predictive statistics) as well as provide interpretations and methodology recommendations while being able to present findings in various formats. The successful candidate will also assist with preparation of academic works (e.g., abstracts, presentations, manuscripts) and reports including creating tables and figures and assisting with writing and critical review for appropriate content and accuracy. This posting may be used to fill multiple current and future positions within the team in Edmonton and Calgary.

As a Research II, you will be responsible for coordinating research activities which generate and disseminate new knowledge that assists with advancing the understanding of health disciplines and various health and medical concerns. Working with the principal investigator, you will assist with the study design and development of research protocols, determine appropriate data collection methods and measurement procedures, interpret results, develop recommendations and coordinate study approvals. You will also contribute to grant submissions and budgeting, conduct literature reviews and environmental scans and provide day-to-day oversight of research studies/projects.

Master's degree in a health or science related field. Registration with applicable professional association or college where required.

Minimum Masters degree with a strong quantitative component in a related field, e.g., community health sciences, health economics, statistics, epidemiology Minimum three years’ related experience in a healthcare analytics environment Must have strong SQL programming skills and experience with analytical software such as Python, R or SAS

Experience working with Canadian administrative health datasets (e.g. DAD, NACRS) Knowledge of and experience programming in Snowflake Experience working with Electronic Medical Record data Familiarity with creating Tableau reports and dashboards Experience with creating reproducible coding, e.g. macros and functions