Data Extraction Analyst (Temporary), MAVEN

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.

The Institute for Health Metrics and Evaluation (IHME) is an independent research organization at the University of Washington (UW). 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 (GBD), Injuries, and Risk Factors; Future Health Scenarios; Cost Effectiveness and Efficiency; Resource Tracking; and Impact Evaluations.

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 Temporary Data Extraction Analyst on the Malaria, Anemia, Vaccines, Hemoglobin, and Neglected Tropical Diseases Team. The main purpose of this position is to provide highly specialized oversight and guidance of routine but complex extraction processes for input data used in modeling, papers, and presentations at IHME. The Data Extraction Analyst will provide support to key research projects through data extraction and formatting, and providing inputs for papers and presentations.

The Data Extraction Analyst will support work on a new grant, under which IHME will aim to provide novel contributions to the global neglected tropical diseases (NTD) research community that supports progress towards NTD control and elimination by extending the scope and depth of our current NTD work into two new areas of research: (1) providing more detailed analyses and visualizations of NTD burden beyond what exists within the current GBD framework, and (2) working with other partners to generate granular estimates of schistosomiasis prevalence and burden. These novel extensions of our previous work will ultimately guide the development, implementation, and evaluation of policies and practices aimed at controlling and eliminating NTDs worldwide.

The Data Extraction Analyst is expected to become specialized in data pertaining to relevant content areas and will consult with 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, causes of death, epidemiology, and a range of determinants and risk factors, such as education, income, or air pollution.

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 research teams, as well as other functional teams including the Global Engagement Team, Technology Team, and Research Management as it pertains to the work of data extraction. 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 expertise 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.

Data Management and Quality Assessment

• 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.

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 member of the Institute.

• Work closely with other team members to assist with relevant tasks, facilitate learning 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.

• 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.

• Other duties as assigned.

Minimum Qualifications:

• 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 Qualifications:

• 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 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: https://www.healthdata.org/about/dei.

Desirable Qualifications:

• Experience analyzing and/or manipulating spatial data.

• Experience with systematic literature reviews and related data extraction and management tasks

• Coding experience, including but not limited to, use of R or Python.

Conditions of Employment:

• Weekend and evening work sometimes required.

• This position is open to anyone authorized to work in the US.

• Working internationally is only allowed for IHME sponsored work that requires in -country participation.

• 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 as agreed upon between employee and supervisor.

• This position currently has funding until February 28, 2026, with a possibility of being extended.