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Job Description

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 has an outstanding opportunity for two** **_Temporary_** **Data Extraction Specialists to join the** **_Reproductive, Genitourinary and Digestive (RGUD)_** **disease estimation team.** The main purpose of these positions is to provide highly specialized oversight and guidance of routine but complex extraction processes for input data used in modeling at IHME. The Data Extraction Specialist will devise and execute protocols to extract, collate, transform, and clean all available relevant quantitative data from surveys, censuses, literature, and administrative records to support estimation of the burden of diseases and risk factors in the RGUD portfolio, with special emphasis on the burden of sexually transmitted infections, maternal disorders, gynecological conditions, and pregnancy-associated risk factors. They will use and refine artificial intelligence-based tools for further workflow optimization (e.g. for data extraction protocols). They will archive, catalog, and annotate datasets according to Institute standards, as well as develop and perform quality assurance routines to ensure the quality and usability of data across the research process.

This position will work with dynamic teams of researchers and staff at all levels. The Data Extraction Specialist is expected to become specialized in data pertaining to relevant content areas and will consult with researchers as needed to amass data necessary for analysis, presentation, and publication. They will guide and coordinate other personnel engaged in systematic reviews and data extraction.

The incumbent must have a strong command of a variety of research needs and analytic functions. The Data Extraction Specialist must be able to anticipate the needs of research teams, as well as other functional teams across IHME as it pertains to the work of data extraction. Frequently the individual will be given assignments where desired end results are identified but there is no preset path for achieving them. The individual must therefore carry out scoping and planning in order to resolve questions and produce results.

This position will work alongside other research staff on complementary projects and will require a foundational knowledge of IHME’s work, as well as core technical skills and collective problem-solving. Overall, the Data Extraction Specialist will be a critical member of an agile, dynamic team. This position is contingent on project funding.

Responsibilities:

_Data Intake Management and Quality Assessment (60%)_

+ Anticipate potential issues with extractions, research proposed solutions, and work with research managers, researchers, and faculty to determine the best approach, and implement approach in a well-documented and consistent manner across GBD.

+ Maintain, update, and carry out routine but complex processes that are central to generating estimates of key indicators.

+ Develop and use protocols to identify problems with datasets and routine extraction processes, rectify issues, and systematize processes for future work.

+ Assess and contribute to decision-making about the definitions of fields for extraction and the organization and storage of input data.

+ Develop and use protocols that dictate the best ways to extract data for use in multiple analyses.

+ Conduct extractions using established tools at the highest level of quality.

+ Maintain data and extractions in a way that all sources are properly documented and can be appropriately cited in compliance with standards.

+ Document extraction processes in order to ensure consistency in extraction across research teams.

+ Perform quality checks and audits of extractions from fellow staff in order to ensure extractions are being done according to standards and are well-documented for presentation in publications and for the transition of work to new researchers.

+ Explore methods for improving extraction processes and implement them to save time or simplify the extraction process and/or improve the quality of extractions.

_Research Command (20%)_

+ Exhibit command of substantive areas of expertise to understand the dimensions and uses of health data in the Global Burden of Diseases, Injuries, and Risk Factors teams.

+ Work directly with researchers to explain and modify extraction processes and fields in order to extract and support them in the extraction of consistent, high-quality data.

+ Design and articulate ways to improve routine extraction processes, including the relevant tradeoffs of different approaches, for decision-making purposes.

_Training (10%)_

+ Train new staff on processes and guidelines for data management and extractions.

+ Give feedback on best practices for data management and extractions.

+ Effectively communicate changes to extraction processes throughout the GBD research cycle in written and oral communications.

_General (10%)_

+ 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.

_Other duties as assigned._

Minimum Requirements:

+ Bachelor’s degree in a Science discipline, Global Health, Public Health or related and three years of related experience.

+ _Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration._

Additional Requirements:

+ Must have demonstrated understanding of the common measurement methods and study designs employed in analytic observational epidemiology, as well as their biases and limitations, in order to design extraction processes that systematically capture key bias information for adjustment in analysis and causal inference.

+ Must have demonstrated competence with analytic tasks and ability to participate productively in interdisciplinary research teams.

+ Strong quantitative aptitude, desire to learn new skills, and ability to interpret complex analytic information.

+ 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 apply analytic skills to better understand complex information in a systematic way.

+ 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 tasks.

Desired Qualifications:

+ Experience conducting systematic review and/or extraction of relative risk, hazard ratio or odds ratio data, for the purpose of meta-regression, preferably using Burden of Proof or other published methodology.

+ Experience using artificial intelligence-based tools for workflow optimization in systematic reviews and/or data extraction.

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.

_A COVER LETTER IS REQUIRED IN APPLYING FOR THIS POSITION._

Please in your cover letter:

Provide three professional references, including name, position, company, email and phone as well the name and contact information for your current supervisor, including email.

If you are not currently employed, please provide the name and contact information for your most recent supervisor, including email.

Compensation, Benefits and Position Details

Pay Range Minimum:

$89,112.00 annual

Pay Range Maximum:

$97,392.00 annual

Other Compensation:

-

Benefits:

For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-temporary-per-diem-and-less-than-half-time/

Shift:

First Shift (United States of America)

Temporary or Regular?

This is a temporary position

FTE (Full-Time Equivalent):

100.00%

Union/Bargaining Unit:

SEIU Local 925 - IHME

About the UW

Working at the University of Washington provides a unique opportunity to change lives – on our campuses, in our state and around the world.

UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty.

Our Commitment

The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81 (https://policy.uw.edu/directory/po/executive-orders/eo-81-prohibiting-discrimination-harassment-and-sexual-misconduct/) .

To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or [email protected] .

Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law (https://app.leg.wa.gov/RCW/default.aspx?cite=28B.112.080) .

University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, sexual orientation, gender identity, sex, age, protected veteran or disabled status, or genetic information.