Research - Laboratory/Non-Laboratory, Staff/Administrative
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.
At the University of Washington, diversity is integral to excellence. We value and honor diverse experiences and perspectives, strive to create welcoming and respectful learning environments, and promote access, opportunity and justice for all.
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; 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 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 excellent opportunity for a Temporary Researcher to join our Neonatal and Child Health (NCH) research team. IHME researchers analyze and produce key estimates for their assigned research team and will assess all available quantitative data – including those on causes of death, epidemiology, and a range of determinants such as education and income – from surveys, vital registration, censuses, literature, registries, and administrative records. Using established modeling tools and through creation of novel code, researchers incorporate all relevant data to produce the most up-to-date and scientifically credible results.
You will be integrally involved in producing, critiquing, improving, and disseminating results. You already have a command of epidemiology, statistics, disease modeling, or related interests, and we will help you develop an understanding of our core research and methodology. Our researchers work with senior research leads and external collaborators and take part in the intellectual exchange about how to improve upon and disseminate the results.
You are expected to interact successfully with a wide range of partners and to describe complex concepts and materials concisely. Overall, Researchers are critical members of agile, dynamic research teams. This position is contingent on project funding availability.
•Develop a core understanding of methodology to produce neonatal and child health indicators and their related covariates and risks, the analytic strategy that accompanies them, and their components. •Under the guidance of experienced scientist and/or faculty, carry out quantitative analyses and statistical modeling to produce results designated on a given timeline as part of collaborative research projects. •Extract data from various sources and databases. Format, transform, review, and assess data sources to determine their relevance and utility for ongoing analysis. Understand key data sources and variations in these across and within countries. •Develop and execute improvements to the analytic strategies and accompanying code that increase the relevance, quality, and use of results by external stakeholders while also improving code performance, diagnostics, and predictability or run-times. •Review, assess, and improve results and methods. •Consult with external collaborators and key stakeholders to resolve differences in competing sets of estimates, jointly understand and explain analytic approaches, and review and respond to recommendations for analytic modifications, new data, and ways of representing the results. •Apply computational and statistical tools and algorithms for the preprocessing, analysis, and visualization of source data. •Document code and analytic approaches systematically so that analyses can be replicated by other team members. •Lead discussion in research meetings about results and analyses to vet, improve, and finalize results. •Contribute to creation of presentations, manuscripts, and funding proposals. Co-author paper(s). •Maintain scientific awareness and intellectual agility with data, methods, and analytic techniques. •Other duties as assigned that fall within reasonable scope of research team.
•Master’s degree in public health, epidemiology, statistics, biostatistics, math, economics, quantitative social sciences, or related discipline plus 1 year related experience, or equivalent combination of education and experience. •Demonstrated experience in population health methods or other applicable statistical analyses using large datasets, and ability to understand and explain the scientific underpinnings of those methods. •Demonstrated research experience in neonatal and child health, related risk factors, and effects on population health, including proficiency with neonatal and child health disease registries, population health surveys, and related data sources. •Proven experience in programming in R, including developing new code, troubleshooting existing code, adapting to new computing environment requirements, and effectively managing large datasets. •Proven experience with generating static and dynamic data visualizations using Tableau, Shiny, or Plotly, including utilizing shape files for mapmaking. •Demonstrated familiarity working with the Global Burden of Disease framework, including its conceptual basis, inputs, outputs, and metrics, and ability to apply that knowledge in generating new models to fit the framework and completing secondary analyses of GBD findings. •Strong analytic, critical thinking, and quantitative skills. •Ability to professionally and effectively communicate and work with other staff at all levels in order to achieve team goals for the analyses and related outputs. •Results- and detail-oriented individual who can initiate and complete tasks under tight deadlines and changing priorities. •Excellent oral and written communication skills. •Ability to work both independently and in collaboration with a team. •A long-term interest in a research scientist position contributing to the overall mission of our research.
•Experience coding with Python and Stata. •Track record of success in co-authorship on scientific papers, presenting results, and representing research at conferences and other national and international meetings. •Experience in clinical and public health aspects of neonatology, pregnancy complications, brain development, and early childhood intellectual development.
Conditions of Employment:
•Appointment to this position is contingent upon obtaining satisfactory results from a criminal background check. •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.
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 Work 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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“Onsite work” in the interim will vary for units and for specific positions and will be discussed with candidates during the interview process.
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