Statistician, Risk Factor Surveillance (Toronto, Ontario)
Cancer Care Ontario (CCO) is an umbrella organization that steers and coordinates Ontario´s cancer services and prevention efforts. As the provincial government's chief cancer advisor, Cancer Care Ontario directs over $500-million in public health care funding for cancer prevention, detection and care. The agency also operates screening and prevention programs; collects, monitors and reports information about cancer and cancer system performance; develops evidence-based standards and guidelines for health care providers; and works with regional providers to plan and improve cancer services.
POSITION SUMMARY
To develop, enhance, populate and disseminate risk factor surveillance indicators, in support of effective decision-making with regard to cancer prevention and control across Ontario.
To provide statistical and advanced quantitative methods support for a number of projects and initiatives within the Informatics and Preventive Oncology Divisions, including but not limited to:
- Cancer surveillance
- Spatial surveillance
- Impact modeling
- Planning & evaluation of cancer services
RESPONSIBILITIES:
Risk Factor Surveillance
- Develop & enhance population indicators for cancer prevention and screening, including demographic & socioeconomic factors, health status indicators, lifestyle/behavioural factors, living/working conditions, etc. in alignment with Cancer 2020 Plan
- Liaise with suppliers and users of risk factor data (i.e., Public Health Units, Ministry of Health and Long-Term Care), emphasizing standardization of methods and tools for data collection, analysis, and presentation
- Maintain & enhance inventory of indicators including survey methods and questions, data quality issues, definitions of indicators, and granularity of available data
- Timely reporting of accurate estimates of prevalence of risk and protective factors, temporal trends, differences within subgroups (e.g., age, sex, geographic area of residence, PHU areas, LHINs) in support of Cancer 2020 and the Cancer System Quality Index (CSQI)
- Assemble and develop effective methodological approaches for accurate estimations of proportions and means, valid estimation of variances and temporal trends, testing for statistically significant differences, age standardized rates where appropriate, explanatory and predictive modelling
Other Initiatives
- Provide support to development and production of cancer surveillance indicators and projections, including incidence, mortality, survival and prevalence
- Provide support to new initiatives including systematic monitoring of temporal trends, development of spatial surveillance methods, and impact modelling
QUALIFICATIONS:
- Masters degree in biostatistics, epidemiology or a related discipline with at least 4 years work experience with statistical methods
- Knowledge of statistical software and programming languages such as SAS, R, or S-PLUS
- Strong analytic and interpretive skills for population-based studies (cohort, case control and survey designs)
- High level of competence in quantitative aspects of research and analysis (epidemiologic inference, programming, database management, statistical analysis)
- Experience with risk factor and cancer registry data and/or other administrative health care datasets
- Experience with longitudinal databases, sample surveys, spatial analysis and data modelling are assets
- Ability to work independently in a multi-disciplinary team environment
- Good written and oral communication skills (for documentation, presentation, etc.)
- Ability to think logically and undertake complex problem solving
- A demonstrated interest in the applied application of advanced quantitative techniques to policy and/or surveillance
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