Health Economist (Sr. Analyst) – Cancer Care Ontario
VACANCY: Senior Analyst, Health Economist (Pharmacoeconomics)
REPORTS TO: Group Manager, Pharmacoeconomics
LOCATION: Toronto, Ontario
STATUS: TFT (12 months +1 day) with possibility of extension
The Pharmacoeconomics Research Unit is a research team that supports Cancer Care Ontario with timely, high quality, and relevant information to inform drug funding decisions. Development of economic evidence with practical application requires use of rigorous methodology, as well as a detailed understanding of the needs of all stakeholders and the impact on the system and patients. The Unit plays an important role in assisting policy-makers and implementers with their health economics needs by conducting, evaluating and explaining methods and analyses in a manner that is understandable and accessible.
We are recruiting an experienced Senior Analyst trained in Health Economics to design and conduct economic analyses and budget impact analyses to inform relevant policy questions. Reporting to the Manager, Pharmacoeconomics Research Unit, and the successful candidate will be involved in conducting literature reviews, building and evaluating economic decision models, and liaising with clinicians, administrators and other stakeholders to conduct applied research and evaluations in the context of the provincial and/or Canadian cancer drug funding environments. Accordingly, the successful candidate requires strong background in cost-effectiveness analysis and decision-modelling methodology, along with clear and concise oral and written communication skills addressing both technical and non-technical audiences. This position will offer the successful candidate an opportunity to work in a fast-paced environment with real-world application and impact. This is a temporary full-time contract with the possibility of extension or becoming a permanent full-time opportunity.
- Building and evaluating cost-effectiveness models and budget impact analyses in Microsoft Excel, conducting sensitivity analyses, and validating model outcomes
- Liaising with clinicians, CCO Provincial Drug Reimbursement Programs (PDRP) staff and the Ministry of Health to develop research questions and manage projects of importance to decision-makers
- Researching and understanding complex clinical processes and scenarios in cancer to inform analyses
- Reviewing literature, critically appraising usefulness, relevance and limitations of data sources and ensuring the appropriateness of analytical methods and accuracy of analyses in meeting the needs of the research questions under study
- Conducting data analyses using statistical software and advanced analytic techniques
- Designing and presenting analyses in a clear manner that incorporates flexibility and user input functionality
- Disseminating results of analyses tailored to different audiences in the form of statistical and descriptive reports, publications, presentations and at scientific conferences
- Evaluating economic models to guide internal and external stakeholders in using economic information to assess value
- Contributing to research projects and developing methods to advance the fields of health economics, decision modelling and health technology assessment
- Supporting and effectively managing complex projects, meeting tight timelines and handling competing priorities
- Graduate degree in health economics, health services research or operations research or similar
- At least three years of work experience in health economics/health technology assessment
- Experience preparing economic models for reimbursement, budget impact analyses, or drug submissions is required
- Technical proficiency in building and evaluating state-based economic models in Microsoft Excel
- Use of advanced modelling techniques (e.g. parametric survival analysis, meta-analysis, Markov, multi-state and partitioned survival model structures)
- Evaluating outcomes and uncertainty using statistical methods (e.g. probabilistic sensitivity analysis) and scenario analyses to address uncertainties of clinical relevance
- Strong ability to manipulate data with spreadsheet, database, and other analytical software; experience with SAS or STATA and advanced data analysis methodology is required
- Strong written and oral communication skills and presentation skills for both technical and non-technical audiences
- Strong interpersonal skills demonstrating professionalism and cooperation in a team environment
- High capacity for problem solving and critical thinking to develop options, new ideas, and recommendations while assessing risks
- Ability to work independently with demonstrated initiative and self-direction
- Proven organizational skills, analytical skills and strong attention to detail
PLEASE INCLUDE A COVER LETTER WITH YOUR APPLICATION
CLOSING DATE/DATE LIMITE: July 19, 2016
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