The University of Washington (UW) is proud to be one of the nation's premier educational and research institutions. Our people are the most important asset in our pursuit of achieving excellence in education, research and community service. Our staff not only enjoys outstanding benefits and professional growth opportunities, but also an environment noted for diversity, community involvement, intellectual excitement, artistic pursuits, and natural beauty. 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; Forecasting; 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 Specialist, Global Burden of Disease. The main purpose of this position is to provide highly specialized database management, data quality management and routine but complex computational processes support to the Global Burden of Diseases, Injuries, and Risk Factors team at IHME, specifically focused on the estimation of causes of death indicators. The specific focus is on cancer estimation. This position will work with a dynamic team of researchers and staff at all levels on particular content areas of the GBD. The Data Specialist in this position will have a primary focus of improving the system for cancer estimation, including the data intake, analyses, and diagnostics. The Data Specialist is expected to become specialized in data pertaining to these content areas and will consult with researchers as needed to amass relevant data for analysis, presentation, and publication. To create the array of indicators required, this position integrates all available relevant quantitative data from surveys, registries, literature, and administrative records into central databases. Relevant data includes that on causes of death, epidemiology, case fatality, and diagnosis. The Data Specialist will make use of innovative, cutting-edge analytic methods to help produce comparable estimates of the impact of diseases, injuries, and risk factors across the globe. The Data Specialist will need to summarize results and data into tables, figures, and other presentation formats to satisfy collaborator and research needs.
The position must have a command of a variety of research needs and analytic functions. The Data Specialist must be able to independently translate requests into actionable results by writing and implementing novel code. The individual must be adept at navigating complex databases and analytic engines, be able to design and interpret diagnostics, and troubleshoot problems in order to resolve them. He/she must be able to independently interpret results to assess their quality and must be able to assess, transform, and utilize a broad array of quantitative data using multiple coding languages (Stata, Python, R, SQL). Frequently the individual will be given assignments where a desired end results is identified but there is no preset path laid for achieving it. The individual therefore must carry out individual planning and problem solving to resolve computational questions and produce results. The individual must be able to envisage how the pipeline of data to analyses and final results operates and identify and implement ways to improve upon its efficiency. This position will additional work alongside other research staff on complementary projects and will require knowledge and skill sharing and collective problem solving. Overall, the Data Specialist will be a critical member of an agile, dynamic research team. This position is contingent on project funding availability.
Exhibit command of substantive areas of expertise to understand the dimensions and uses of health data in the Global Burden of Diseases, Injuries, and Risk Factors enterprise with specific emphasis on the estimation of demographic indicators.Specific focus within the GBD will be data and characteristics of it and results related to cancer.
Work directly with researchers to explain and modify databases and routine analytic processes to produce key indicators.
Design and articulate ways to improve routine computational processes, including the relevant trade-offs of different approaches, for decision-making purposes.
Data Management and Analytic Processes
Problem-solve computational and analytic challenges by investigating the data, understanding the root questions, and coming up with alternative measurement strategies.
Design and implement improvements to the complex machinery to compute estimates of cancer-related indicators. Optimize performance of the database with analytic processes and diagnostics.
Maintain, update, and adapt databases containing health data from multiple sources such as surveys, vital registration systems, registries, administrative records, and published studies relevant to the estimation of key diseases, most notably cancer.
Maintain, update, and carry out routine but complex computational processes that are central to generating estimates of key demographic indicators.
Execute queries on databases and resolve intricate questions in order to respond to the needs of senior researchers and external requests from collaborators, media, policymakers, donors, and other stakeholders.
Create and execute diagnostics and summary reports on data, databases, and routine computational processes to assess performance and results.
Develop and use protocols to identify problems with datasets and routine computational processes, rectify issues, and systematize data for future analyses.
Assess and contribute to decision-making about what type of coding language and approach to use in accomplishing routine computational tasks.
Develop and use protocols that dictate the best ways to store data for use in multiple analyses.
Archive, catalogue, and annotate datasets according to Institute standards to build a common library of materials for use by a wide set of researchers.
Develop novel representations of data and results for senior researchers and other stakeholders
Perform quality checks and audits of code from fellow staff.
Publications, Presentations, and Data Requests
Create tables, figures, and generate text for presentations and publications, drawing upon data and information from a multitude of sources.
Develop novel representations of data and results for senior researchers and other stakeholders.
Communicate clearly and effectively while contributing as a productive member of both the Global Burden of Disease team and the Institute as a whole. Work closely with other team members to help them with relevant tasks, to show them how to learn new skills, and to 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 analytic approaches, describing data, and instructing how to implement code related to demographic estimation.
Participate in overall community of the Institute, carrying out duties as required as team members with other Institute 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 social sciences, engineering, computer science or related field three years' experience or equivalent combination of education and experience.
Demonstrated success in implementing code in Stata, R, and SQL.
Must have demonstrated facility with analytic tasks and ability to participate productively in interdisciplinary research teams. Strong quantitative aptitude, desire to learn new skills, and ability to interpret complex analytic information.
Strong sense of focus and attention to detail.
Demonstrated familiarity and ability to agilely assess, transform, and work with quantitative data from a range of sources
Ability to learn new information quickly and to apply analytic skills to better understand complex information in a systematic way.
Interest in global 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 to discuss complex databases and computation item with lead faculty.
Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.
CONDITIONS OF EMPLOYMENT
Appointment to this position is contingent upon obtaining satisfactory results from a criminal background check.
Travel within the US and internationally up to 25% time. Evening and weekend work may be required.
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, Criminal Conviction History, 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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