Location:Vancouver - Point Grey Campus
Employment Group: Management&Professional (AAPS)
Job Category: Statistical Analysis
Classification Title: Statistical Analysis, Level B
Business Title: Health Economist
VP/Faculty: Faculty of Medicine
Department: School of Population & Public Health
Salary: $57,417.00 - $68,929.00 (Annual)
Full/Part Time: Full-Time
Desired Start Date: 04/01/2014
Possibility of Extension: Yes
Job End Date: 01/31/2016
Funding Type: Budget Funded
Closing Date: 03/21/2014
Available Openings: 1
This position is appointed in the School of Population and Public Health at the University of British Columbia. The business address for this location is 2206 East Mall, Vancouver, BC, Canada V6T 1Z3.
This position will be appointed through SPPH at UBC, with an office based in the Pharmacoeconomics programme at the Centre for Health Evaluation and Outcome Sciences at St Paul's Hospital.
The incumbent will be part of a team that performs high quality health economic projects to inform hospital, provincial and federal agencies on the value of drugs and technologies. The team conducts multiple projects including ascertaining the cost-effectiveness of new medications, and novel strategies for delivering health care. The position will assist the team by conducting econometric analysis of data, developing economic models, and disseminating results as manuscripts and reports.
The School of Population and Public Health (SPPH) was created in May 2008, and is part of the Faculty of Medicine. The School is a vibrant interdisciplinary academic environment where the next generation of public health researchers and practitioners are trained to generate new knowledge and translate it into action, focused on improving and sustaining the health of local, national and international populations.
CHEOS is an interdisciplinary research centre comprised of core scientists and staff, students, postdoctoral fellows and visiting scholars. It is a research centre within the Providence Healthcare Research Institute, with several core faculty appointed through SPPH.
The pharmacoeconomics group within CHEOS seeks to help health professionals and policy makers make efficient decisions on the use of health care resources. With increasing fiscal pressure on health care budgets, the work seeks to inform practices and policies that ensure the health of
Canadians is maximized within these financial constraints.
- Contributes expertise in econometric modeling methodology to ensure robust interpretation of economic evidence to support policy decisions
- Conducts econometric modeling, analysis, and computations on large health economic datasets (using econometric techniques such as multivariate regression, difference in difference methods)
- Design, develop coordinate and/or implement economic modeling and methodologies to assist projects ascertaining the cost-effectiveness of drugs and technologies (Markov models, simulation)
- Use experimental design theory to develop questions for surveys that will obtain key economic indicators of defined populations (resource utilization and quality of life)
- Prepare and deliver conference presentations, academic manuscripts, and technical reports as required.
- Responsible for ensuring that the security and confidentiality of all data is maintained.
- Participate and contribute to the Centre rounds and related activities
- Participate in the development and submission of grant applications with Centre based as well as collaborating scientists.
- Perform other related duties, as required
The incumbent will receive day-to-day supervision and support from Dr. Nick Bansback, an Assistant Professor at SPPH and scientist at CHEOS. In addition, advice and support will be provided by the pharmacoeconomics programme at CHEOS including the Director Aslam Anis.
The incumbent will assist supervising graduate students who are co-supervised by the Pharmacoeconomics programme Principal Investigators.
Consequence of Error/Judgement:
The position requires exceptional judgment to identify and recommend sound economic evaluation techniques for projects. Take part in final decisions regarding appropriate analyses in consultation with investigators. The incumbent will require minimal supervision and will exercise independent judgment regarding scheduling and timely completion of tasks.
Error would result in publication of inadequately analyzed data. It would also involve potentially incorrect decisions being made in relationship to funding of the particular program, and could lead to incorrect or inappropriate policy and practice recommendations being made.
Error would also be associated with the loss of investigator productivity as well the potential loss of renewal grant funding.
- Post-graduate degree in Statistics. Masters degree in Health Economics. Minimum of three years experience in research analysis or the equivalent combination of education and experience. Experience with working in an academic health economics group would be advantageous. - Understanding on the core theories of economics in health care including concepts such as supply and demand, opportunity cost and consumer theory.
- Ability to conduct econometric analysis in software such as Stata, R or SAS
- Experience in creating econometric models in Excel, TreeAge, or Arena.
- Time management
- Project management - ability to work on multiple projects at the same time
- Interpersonal skills
UBC hires on the basis of merit and is strongly committed to equity and diversity within its community. We especially welcome applications from visible minority group members, women, Aboriginal persons, persons with disabilities, persons of minority sexual orientations and gender identities, and others with the skills and knowledge to productively engage with diverse communities. All qualified candidates are encouraged to apply; however Canadians and permanent residents will be given priority.
If you are interested in applying for this position please apply directly through the UBC Careers Website at http://www.hr.ubc.ca/careers-postings/staff.php. The position is posted under job ID: 17654.
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