Research - Laboratory/Non-Laboratory, Staff/Administrative
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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 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; Costs and Cost Effectiveness; 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 opportunity for a Senior Research Analyst on the following teams: Central Computation and Rapid Response and Analytics.
Given the wide variety of research areas in which IHME undertakes innovation, the person in this position must develop an intellectual agility to traverse across many types of data and analyses. The Research Analyst will use their coding and analytic skills to provide lead diagnostics of issues that occur in any of IHME’s analysis or models. The person in this role will both plan and implement analytic improvements and solutions to processes of collecting, cleaning, analyzing data or producing results. The successful Senior Research Analyst will be able to use their advanced analytic skills to lead their team to respond agilely and quickly to different teams and challenges to meet the needs of the Institute.
This position is contingent on project funding availability.
Train and task researchers, data professionals, and others in emergent methods and analytic approaches.
Consult across research teams to develop methods, formulate integration plans, and incorporate new methodologies into production.
Communicate clearly and effectively while contributing as a productive member of the team and the Institute as a whole.
Work closely with other team members at varying levels to help them with relevant tasks, teach them new skills, and resolve emerging problems on different projects.
Assign, direct, and supervise the work of several data analysts, research analysts, or research engineers.
Identify and evaluate candidates for open positions.
Mentor/train staff in development of technical, professional, and project management skills.
Determine where the team’s analytic resources are best spent, with guidance from the Director of Central Comp.
Analytic Research Solutions
Design and apply multi-disciplinary quantitative methodologies to conduct novel analyses and generate indicators in population health metrics.
Collaborate with researchers and engineers to develop tools for vetting and addressing research needs.
Creatively modify and enhance existing analytic engines and tools to carry out brand new functions responsive to the analytic questions to be resolved.
Test experimental approaches to incorporating data or creating indicators that can be used to help achieve high-quality results across different estimation exercises.
Develop and utilize understanding of the analytic needs and components of major cross-cutting research projects.
Translate scientific questions and aims into tangible research objectives.
Exhibit a command of multiple types of inputs (e.g. costs, disease prevalence, all-cause mortality) and leverage essential methods (e.g. Gaussian Process Regression) to formulate analytic solutions.
Contribute to time-sensitive deliverables such as papers, reports, presentations, data requests, and data visualizations.
Assess emergent analytic questions as they arise. Determine scope and feasibility of possible response, considering the full range of data, methods, and tools available to IHME across all projects.
Determine appropriate tools to use, including languages, frameworks, data structures, etc.
Set priorities for supervisees and help to oversee implementation of plans.
Develop tools over time that help to address similar types of analytic questions in future, producing greater efficiency and expanding the toolkit available.
Analytic Research Validation
Identify opportunities and provide diagnostic solutions that offer efficient review and critique of data and results by researchers.
Develop accessible diagnostics to monitor the quality and performance of complex analysis as a resource to a variety of research teams.
Identify areas where solutions from one project could be applied to another.
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, public health, computer science, sciences, mathematics, engineering, or related field and five years of experience, or equivalent combination of education and experience.
Demonstrated success in implementing complex analytic code in R, Python, or SQL.
Ability to participate productively in interdisciplinary research teams
Desire to learn new skills
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.
Ability to work across different teams with diverse skills, knowledge, and communication styles.
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.
Master’s degree in related field
Expertise in development using Python or R
Mathematics and/or statistics background
Understanding of high performance computing (HPC) systems
Experience in a research environment
Experience interacting with Global Burden of Disease estimation and products
CONDITIONS OF EMPLOYMENT
Evening and weekend 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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