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Data Extraction Analyst - Rgud Team 🔥


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 are 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 outstanding opportunity for a Data Extraction Analyst to join the Reproductive, Genitourinary, and Digestive disease estimation (RGUD) team within the Global Burden of Disease (GBD) study. The Data Extraction Analyst will provide support to key research projects through data extraction and formatting, and providing inputs used in modeling, papers and presentations. The research areas include, but are not limited to, hepatitis and cirrhosis, gynecology, sexually transmitted infections, upper and lower digestive diseases, and infertility. This is an entry-level position for those who are interested in entering the field of global health or clinical medicine. The ideal candidate is a detailed-oriented, quantitative-minded individual with a passion for building their understanding of epidemiologic study design and the burden of major diseases within the RGUD research areas.

The Data Extraction Analyst is expected to become specialized in data pertaining to RGUD content areas and will consult with other researchers or staff as needed. To create the array of indicators required, this position provides guidance on the extraction of all available relevant quantitative data from surveys, censuses, literature, and administrative records into central databases. This position will collate, clean, and extract data from survey, literature, vital registration, and other sources that have been identified. By doing so they will catalog a library of data that will add to the foundation of the Institute. Relevant data include those on mortality, epidemiology, and a range of diseases, injuries, and determinants.

The position must have a strong command of a variety of research needs and analytic functions. The Data Extraction Analyst must be able to anticipate the needs of the research team. This position will work with dynamic teams of researchers and staff at all levels and will work alongside other research staff on complementary projects requiring a foundational knowledge of IHME’s work, as well as core technical skills and collective problem-solving. Overall, the Data Extraction Analyst will be a critical member of an agile, dynamic team. This position is contingent on funding availability.

RESPONSIBILITIES:

Research command

  • Become familiar with substantive areas of the RGUD disease portfolio to understand the dimensions and uses of health data and the analytic underpinnings of different research streams.
  • 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.
  • Extract, 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.
  • Develop and use protocols to identify problems with datasets and routine extraction processes, rectify issues, and systematize processes for future work.
  • Maintain, update, and interact with databases containing health data from multiple sources.
  • Perform quality assurance and routine diagnostics on data and databases.
  • Assess and contribute to decision making about the definitions of fields for extraction and the organization and storage of input data.
  • Perform literature reviews and other forms of data seeking.
  • Archive, catalog, and annotate datasets according to Institute standards to build a common library of materials for use by a wide set of researchers.
  • Document extraction processes in order to ensure consistency in extraction across research teams.
  • Improve extraction processes in order to save time or simplify the extraction process and/or improve the quality of extractions.
  • 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.
  • 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.
  • Attend relevant meetings, adhere to deadlines, and participate as a vital member to collectively advance team-level objectives.
  • Serve as a resource to others in explaining approaches to data management and extraction.
  • Participate in overall community of the Institute, carrying out duties as may be required for team members.
  • Bachelor’s degree in sciences, global health, public health, or related field plus two years’ related experience, or equivalent combination of education and experience
  • Must have demonstrated competence with analytic tasks. Demonstrated familiarity and ability to agilely assess, transform, and work with quantitative data from a range of sources.
  • Strong quantitative aptitude, desire to learn new skills, and ability to interpret complex analytic information.
  • Strong sense of focus and attention to detail.
  • Ability to learn new information quickly and to understand complex information in a systematic way.
  • Interest in global health or population 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.
  • 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: http://www.healthdata.org/get-involved/careers/dei [1]
  • Experience analyzing and/or manipulating spatial data
  • Coding experience, including but not limited to, use of R, Python, or SQL
  • 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 5 hours of IHME office hours, between 8 a.m. and 5 p.m. Pacific Time.

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 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.


  1. http://www.healthdata.org/get-involved/careers/dei

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