Seattle, Washington
Dec 11, 2017
Jan 02, 2018
Contract Type
Full Time
University of Washington

Location Seattle, Washington, United States

Salary Not specified

Job type Employee

Category Administrative / Office,Bio-Tech / Sciences,Health Care

Job status N/A

Posted on Dec 11, 2017

Job code


Return to Job list DATA ANALYST, SCIENTIFIC LITERATURE REVIEW Req #: Department: INSTITUTE FOR HEALTH METRICS AND EVALUATION Job Location: South Lake Union Posting Date: 12/08/2017 Closing Info: Open Until Filled Salary: Salary is commensurate with experience and education Shift: First Shift Notes: Priority consideration given to applications submitted by 12/20/2017. 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 four 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; 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 is hiring for multiple Data Analyst, Scientific Literature Review positions on different teams. Placement onto a team is determined by specific needs of the team and candidates' qualifications. Please note: These positions are open to U.S. Citizens and permanent residents; H1B visa sponsorship is not available.The main purpose of these positions is to provide support to key research projects through data extraction and formatting, and providing inputs for papers and presentations. The Data Analyst, Scientific Literature Review must develop an understanding of different research needs across multiple projects to best meet researcher needs. The individual will be responsible for collating, cleaning, and extracting data from survey, literature, vital registration, and other sources that have been identified. By doing so s/he will catalog a library of data that will add to the foundation of the institute. Overall, the Data Extraction Analyst will be a critical member of an agile, dynamic research team. This position is contingent on project funding availability.Research Teams for which Data Analyst positions are currently available include:Global Burden of Diseases, Injuries, and Risk Factors enterprise (GBD): A core research area for IHME is the GBD. A systematic, scientific effort to quantify the comparative magnitude of health loss due to diseases, injuries, and risk factors by age, sex, and geography over time, the GBD is the largest and most comprehensive effort to date to measure epidemiological levels and trends worldwide. The GBD's aim is to provide policymakers, donors, and researchers with the highest-quality quantitative evidence base to make decisions that achieve better health.Geospatial Analysis: IHME is seeking to revolutionize the way we track diseases around the world by developing innovative geospatial analytic methods to produce increasingly granular estimates of diseases and determinants. Just a few of the diseases this revolutionary work will touch on are pneumonia and its etiologies, diarrhea and its pathogens, malaria, HIV/AIDS, tuberculosis, Ebola, as well as select neglected tropical diseases. Through the development and use of geospatial techniques to synthesize information at the local level, and in partnership with key collaborators around the world, IHME will present results in interactive high-resolution maps to illuminate levels, trends, and disparities in health outcomes.Typical responsibilities include:Research command Become familiar with substantive areas of expertise to understand the dimensions and uses of health data and the analytic underpinnings of different research streams, including the Global Burden of Diseases, Injuries, and Risk Factors enterprise and Geospatial Analysis portfolio.Work directly with researchers to trace back 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.Work directly with researchers to explain and modify databases and routine analytic processes to best serve the needs of evolving projects.Create and document efficient, effective and replicable methods to extracting data, organizing data sources, and managing data quality.Data management and analytic processesExtract, format, and transform data from multiple sources according to set protocols in consultation with researchers to best meet their needs. Sources include literature, surveys, censuses, administrative records, vital registration systems, and disease registries, among others.Innovate and streamline ways to bring together data, analytic engines, and data visualizations in one seamless computational process. Solve problems that allow for valuable comparisons between highly different quantitative data sets.Archive, catalog, and annotate datasets according to Institute standards to build a common library of materials for use by a wide set of researchers. Publications, presentations, and data requests Create text, tables, figures, and charts for presentations and publications.Provide referencing and other support for publications and presentations.Execute queries on databases to respond to the needs of senior researchers and external requests from collaborators, media, policymakers, donors, and other stakeholders.General Communicate clearly and effectively while contributing as a productive member of assigned team and the Institute as a whole.Work closely with other team members to help them with relevant tasks, show them how to learn new skills, and 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.Work with data visualization developers, data indexers, and other staff as needed to support the needs of the project.Participate in overall community of the Institute, carrying out duties as required as team members with other Institute members.Participate in and/or lead internal trainings to share knowledge and ensure consistency across the 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 sciences, global health, public health or related field plus two years' related experience, or equivalent combination of education and experience. Additional Requirements:Strong academic standing in a relevant scientific subject.Good knowledge of the basics of disease epidemiology for a wide range of diseases.Interest in global health research.Strong data manipulation skills, proficiency in data extraction and database useExcellent quantitative aptitude, desire to learn new skills and information, and ability to interpret complex analytic quantitative information.Evidence of being willing to take advice and constructive criticism, and a demonstrated ability to work well with other members of a teamEvidence of proficiency in scientific writing, with proper use of the English language, grammar and punctuationDemonstrated organizational skills, attention to detail, self-motivation, flexibility, strong communication skills, and the ability to thrive in a fast-paced, energetic, highly creative, environment.Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.DESIREDExperience analyzing and/or manipulating spatial dataExperience of working with databasesExperience in mapping methodologies and Geographical Information SystemsCoding experience, including but not limited to, use of R, Python or StataCONDITIONS OF EMPLOYMENT Appointment to this position is contingent upon obtaining satisfactory results from a criminal background check.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. The University of Washington is a leader in environmental stewardship & sustainability, and committed to becoming climate neutral. The University of Washington is an equal opportunity, affirmative action employer. To request disability accommodation in the application process, contact the Disability Services Office at / (tty) or . 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