|The Institute for Health Metrics and Evaluation (IHME) is an independent research center at the University of Washington. Its mission is to deliver to the world timely, relevant, and scientifically valid evidence to improve health policy and practice. IHME carries out its mission through a range of projects within different research areas including the Global Burden of Diseases, Injuries, and Risk Factors; Future Health Scenarios; Cost Effectiveness and Efficiency; Resource Tracking; and Impact Evaluations. Our vision is to provide policymakers, donors, and researchers with the highest-quality quantitative evidence base so all people live long lives in full health.
IHME is committed to providing the evidence base necessary to help solve the world’s most important health problems. This requires creativity and innovation, which is cultivated by an inclusive, diverse, and equitable environment that respects and appreciates differences, embraces collaboration, and invites the voices of all IHME team members.
IHME has an exciting opportunity for a Data Analyst on the Cost-Effectiveness research team. The team analyzes the cost-effectiveness of interventions and health spending by leveraging IHME’s experience, analytical framework, databases, and results on the Global Burden of Disease (GBD), Future Health Scenarios, and Resource Tracking. To support universal health coverage, IHME will generate incremental cost-effectiveness ratios (ICERs) for a broad set of interventions at national and local levels by extending and improving our meta-regression analysis of published estimates. ICERs are a metric for comparing health interventions, and represent the difference in cost between two possible interventions, divided by the difference in their effect. The meta-regression analysis will account for variation across epidemiological and socioeconomic context, study design and methods, and intervention characteristics.
The main purpose of the Data Analyst position is to provide support to key research projects through database management, data quality management, computational support to multidisciplinary research projects, data extraction and formatting, and providing key inputs for papers and presentations. Data Analysts are tasked with developing an understanding of different research needs and analytic functions across multiple projects to best meet researcher needs. We are looking for an individual who is able to independently translate requests into actionable results through interactions with research databases, formulation of displays of results, and development of complex code to be applied to a variety of quantitative data. The role calls for dexterity in working with complex databases, the ability to assess, transform, and control the quality of results, and skill at coding in multiple languages (Python or R) to ensure that other team members have exactly what they need to incorporate the data and results into their own components of the analytic process, presentations, and papers.
Additionally, this position will work alongside other Data Analysts and Data Extraction Analysts on complementary projects and will require knowledge and skill sharing and collective problem solving. Overall, the Data Analyst will be a critical member of an agile, dynamic research team. This position is contingent on project funding availability.
• Become familiar with substantive areas of expertise to understand the dimensions and uses of health data and the analytic underpinnings of different research streams.
Data management and analytics
• Problem-solve computational and analytic challenges by investigating the data, understanding the root questions, and coming up with alternative measurement strategies.
• Create tables, figures, and charts for presentations and publications.
Bachelor’s degree in quantitative social sciences, public health, epidemiology, economics, statistics, biostatistics, applied math, or related field plus two years’ related experience, or equivalent combination of education and experience. As a rule, a bachelor’s degree is equivalent to 4 years’ experience.
Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.
• Demonstrated success in developing code in Python or R.
• Weekend and evening work sometimes required.
|Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law.|
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