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The Institute for Health Metrics and Evaluation (IHME) is an independent research center at the University of Washington. Its mission is to monitor global health conditions and health systems, as well as to evaluate interventions, initiatives, and reforms. IHME carries out a range of projects within different research areas including the Global Burden of Diseases, Injuries, and Risk Factors; Future Health Scenarios; Costs and Cost Effectiveness; Geospatial Analysis; Resource Tracking; and Impact Evaluations. The aim is to provide policymakers, donors, and researchers with the highest-quality quantitative evidence base to make decisions that achieve better health.
IHME has an outstanding opportunity for a Data Extraction Analyst on the Years Lived with Disability (YLDs) team on the Global Burden of Diseases, Injuries, and Risk Factors (GBD) Study. The GBD is a systematic, scientific effort to quantify the comparative magnitude of health loss due to diseases, injuries, and risk factors by age, sex, and geography over time, and is the largest and most comprehensive effort to date to measure epidemiological levels and trends worldwide. The YLDs team is responsible for estimating health loss due to chronic diseases and injuries, such as diabetes and kidney diseases, and musculoskeletal, neurological, respiratory, and substance use disorders.
The main purpose of this position is to provide highly specialized oversight and guidance of routine but complex extraction processes for input data used in modeling, papers, and presentations at IHME. The Data Extraction Analyst will provide support to key research projects through data extraction and formatting, and providing inputs for papers and presentations.
The Data Extraction Analyst is expected to become specialized in data pertaining to relevant content areas and will consult with staff as needed. To create the array of indicators required, this position provides guidance on the extraction of all available relevant quantitative data from surveys, censuses, literature, and administrative records into central databases. This position will collate, clean, and extract data from survey, literature, vital registration, and other sources that have been identified. By doing so, they will catalog a library of data that will add to the foundation of the Institute. Relevant data include those on mortality, causes of death, epidemiology, and a range of determinants and risk factors, such as education, income, or air pollution.
The position must have a strong command of a variety of research needs and analytic functions. The Data Extraction Analyst must be able to anticipate the needs of research teams, as well as other functional teams including the Global Engagement Team, Technology Team, and Research Management as it pertains to the work of data extraction. This position will work with teams of researchers and staff at all levels and will work alongside other research staff on complementary projects requiring a foundational knowledge of IHME’s work, as well as core technical skills and collective problem-solving. Overall, the Data Extraction Analyst will be a critical member of an agile, dynamic team. This position is contingent on 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.
Work directly with researchers to trace back the source of data used in models and results, understand the context of the data, and ensure that they are relevant to the analyses themselves.
Data management and quality assessment
Extract, format, and transform data from multiple sources according to set protocols in consultation with researchers to best meet their needs. Sources include literature, surveys, censuses, administrative records, vital registration systems, and disease registries, among others.
Develop and use protocols to identify problems with datasets and routine extraction processes, rectify issues, and systematize processes for future work.
Maintain, update, and interact with databases containing health data from multiple sources.
Perform quality assurance and routine diagnostics on data and databases.
Assess and contribute to decision-making about the definitions of fields for extraction and the organization and storage of input data.
Perform literature reviews and other forms of data seeking.
Archive, catalog, and annotate datasets according to Institute standards to build a common library of materials for use by a wide set of researchers.
Document extraction processes in order to ensure consistency in extraction across research teams.
Improve extraction processes in order to save time or simplify the extraction process and/or improve the quality of extractions.
Publications, presentations, and data requests
Create text, tables, figures, and charts for presentations and publications.
Provide referencing and other support for publications and presentations.
Execute queries on databases to respond to the needs of senior researchers and external requests from collaborators, media, policymakers, donors, and other stakeholders.
Communicate clearly and effectively while contributing as a member of the Institute.
Work closely with other team members to assist with relevant tasks, facilitate learning new skills, and help resolve emerging problems on different projects.
Attend relevant meetings, adhere to deadlines, and participate as a vital member to collectively advance team-level objectives.
Serve as a resource to others in explaining approaches to data management and extraction.
Participate in overall community of the Institute, carrying out duties as may be required for team members.
As a UW employee, you will enjoy generous benefits and work/life programs. For detailed information on Benefits for this position, click here.
Bachelor’s degree in sciences, global health, public health, or related field plus two years’ related experience, or equivalent combination of education and experience.
Must have demonstrated competence with analytic tasks. Demonstrated familiarity and ability to agilely assess, transform, and work with quantitative data from a range of sources.
Strong quantitative aptitude, desire to learn new skills, and ability to interpret complex analytic information.
Strong sense of focus and attention to detail.
Ability to learn new information quickly and understand complex information in a systematic way.
Interest in global health or population health research.
Demonstrated organizational skills, self-motivation, flexibility, and the ability to work and thrive in a fast-paced, energetic, highly creative, entrepreneurial environment.
Strong communication skills necessary.
A commitment to working to alongside others at IHME to illuminate the health impacts of systemic racism and to work within IHME to make our organization more diverse and inclusive. See IHME’s DEI statement here: http://www.healthdata.org/get-involved/careers/dei.
Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.
Experience analyzing and/or manipulating data.
CONDITIONS OF EMPLOYMENT
Weekend and evening work sometimes required.
The office is located in Seattle, Washington. This position is eligible to work fully remote; work schedule required to overlap 50% of IHME Office hours between 8am - 6pm Pacific Time.
Application Process: The application process for UW positions may include completion of a variety of online assessments to obtain additional information that will be used in the evaluation process. These assessments may include Workforce Authorization, Cover Letter and/or others. Any assessments that you need to complete will appear on your screen as soon as you select “Apply to this position”. Once you begin an assessment, it must be completed at that time; if you do not complete the assessment you will be prompted to do so the next time you access your “My Jobs” page. If you select to take it later, it will appear on your "My Jobs" page to take when you are ready. Please note that your application will not be reviewed, and you will not be considered for this position until all required assessments have been completed.
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