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Employer: UW Institute for Health Metrics and Evaluation

Expires: 08/01/2021

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 opening for a Data Analyst position on the Scientific Publications team. The Scientific Publications team supports the production of scientific papers across all IHME research teams. This position will implement custom analyses, generate tables and figures, fact-check materials, and write custom code to facilitate number-plugging for capstone, country, and topic-specific papers.This position must develop an understanding of different research needs and analytic functions across multiple projects to best meet team needs. The Data Analyst must be 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 position calls for dexterity working with complex databases and the ability to assess, transform, and utilize quantitative data using multiple coding languages (R and Python). The individual must then quality control results to ensure that other team members have exactly what they need to incorporate the data and results into scientific papers.Additionally, this position will work alongside other Data 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 team. This position is contingent on project funding availability.RESPONSIBILITIES:Research commandBecome 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 team members 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.Create and document efficient, effective, and replicable methods for developing code and explaining complex analytic processes.Data analyticsProblem-solve computational and analytic challenges by investigating the data, understanding the root questions, and coming up with alternative measurement strategies.Implement code solutions in order to answer analytic questions, perform diagnostics on results, and test and assess new methods.Maintain, update, and carry out computational processes and statistical modeling.Execute queries on databases and resolve intricate questions in order to respond to the needs of internal and external stakeholders.Bring together data, analytic engines, and data visualizations in one seamless computational process.Publication DevelopmentWork closely with team members to design, adapt, and create tables, figures, and other visualizations.Provide referencing and other editorial support for publications.Query appropriate databases and write custom code for number-plugging.Fact-check publications against database records and for internal consistency.Participate in manuscript development and design of analytical plans.GeneralCommunicate clearly and effectively with team members across the Institute.Work closely with other team members to assist with relevant tasks, facilitate learning new skills, and help resolve emerging problems.MINIMUM REQUIREMENTS:Bachelor’s degree in social sciences, engineering, computer science, or related field plus two years’ related experience, or equivalent combination of education and experience.ADDITIONAL REQUIREMENTS:Demonstrated success in developing code in R and Python.Interest in global health, population health, scientific publications, and/or ways in which quantitative research and data science can be used to create valuable global public goods.Demonstrated self-motivation, ability to absorb detailed information, flexibility, and 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 fastidious attention to detail.Interest in the design of figures and tables to display complex data and concepts.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: click here.Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.DESIRED EXPERIENCEDemonstrated success in developing code in SQL, Stata, or other coding language.Weekend and evening work sometimes required.This position is open to anyone authorized to work in the US. The UW is not able to sponsor visas for staff positions.Office is located in Seattle, Washington. This position is eligible to work fully remote in the US; work schedule required to overlap 50% of IHME office hours, between 8 a.m. and 6 p.m. Pacific Time.Committed to attracting and retaining a diverse staff, the University of Washington will honor your experiences, perspectives and unique identity. Together, our community strives to create and maintain working and learning environments that are inclusive, equitable and welcoming.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.