What are the responsibilities and job description for the Data Extraction Analyst (Temporary), MAVEN position at The Institute for Health Metrics and Evaluation?
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.
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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
Publications, Presentations, and Data Requests
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