As a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world. UW employees offer their boundless energy, creative problem solving skills and dedication to build stronger minds and a healthier world. UW faculty and staff also enjoy outstanding benefits, professional growth opportunities and unique resources in an environment noted for diversity, intellectual excitement, artistic pursuits and natural beauty. All of which has allowed the UW to be nationally recognized as a "Great College to Work For" for five consecutive years. 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; Local Burden of Disease; 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 excellent opportunity for a Data Specialist on the Simulation Science team. This position is focused on simulation modeling to quantify the potential costs and effects of health interventions designed to reduce mortality and morbidity globally. The objectives of the project are to develop modular components for our Python-based microsimulation framework and to validate/verify their behavior independently and in combination. We are looking for someone who has 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 coding languages (Python preferred). Frequently the individual will be given assignments where a desired end result 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.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.Responsibilities include:Research commandExhibit command of one or more of the research areas at IHME, including their basic tenets, principles, and the nature of the data and results.Work directly with researchers to identify 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.Design and articulate ways to improve routine computational processes, including the relevant trade-offs of different approaches, for decision-making purposes.Data management and analyticsProblem-solve computational and analytic challenges by investigating the data, understanding the root questions, and coming up with alternative measurement strategies.Design, implement, and execute improvements to complex machinery to compute estimates of indicators. Optimize performance of machinery while running it to generate indicators as part of the annual production cycle.Enhance and execute statistical models and tools to carry out functions responsive to the analytic questions to be resolved. Execute queries and complete novel analytics to answer questions from senior researchers, collaborators, 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.Transform and format data sets for use in ongoing analyses. Catalogue and incorporate these datasets into databases. Perform quality checks.Develop novel representations of data and results for senior researchers and other stakeholdersAssess results and provide input on validity.Create new code functions to add to a common code library to make more efficient commonly needed tasks.GeneralCreate tables, figures, and generate text for presentations and publications, drawing upon data and information from a multitude of sources.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 to help resolve emerging problems on different projects.Serve as a resource to others in explaining analytic approaches, describing data, and instructing how to implement code. Participate in and/or lead internal trainings.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.REQUIREMENTS: Bachelor's Degree in social sciences, engineering, computer science or related field plus four years' related experience or equivalent combination of education and experience.Additional Requirements:Demonstrated success in developing code in Python or other coding language.Interest in global health, population health, and/or ways in which quantitative research and data science can be used to create valuable global public goods.Demonstrated self-motivation and evidence of self-direction. Agility with detailed information and data. Demonstrated flexibility and mature communication skills with an ability to thrive in a fast-paced, energetic, highly creative, and entrepreneurial environment.Ability to learn new information quickly and to apply analytic skills to better understand complex information in a systematic way.Strong quantitative aptitude and agility making sense of new data.Direct experience with quantitative data from a wide range of disparate sources, including surveys, registries, administrative data, vital registration systems, and research studies.Direct experience with quantitative data from a wide range of disparate sources, including surveys, registries, administrative data, vital registration systems, and research studies.Demonstrated experience with one or more of the key research areas undertaken at IHME. Ability to explain the major tenets, principles, and purpose of a subset of the analytic work.Experience interpreting results and diagnostics in order to help manage quality control system of the input data and results.Ability to compartmentalize, illustrate, and explain how code implements analytic strategies.Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.CONDITIONS OF EMPLOYMENT Weekend and evening work sometimes 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, 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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