Full Job Description
Notes: The University of Washington is following physical distancing directives from state and local governments as part of the collective effort to combat the spread of COVID-19. Click here for updates
Work at IHME is ordinarily performed in an office environment, but IHME is requiring remote work under most circumstances during the COVID-19 pandemic. During this evolving situation, changes to this policy will be discussed as they occur throughout the interview process.
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 six consecutive years.
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; Costs and Cost Effectiveness; Local Burden of Disease; 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 is 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 exciting opportunity for a Data Analyst on the Global Burden of Disease (GBD) Causes of Death, Shocks and Intermediate Causes team. A core research area for IHME is the Global Burden of Diseases, Injuries, and Risk Factors enterprise (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, GBD is the largest and most comprehensive effort to date to measure epidemiological levels and trends worldwide. GBD’s aim is to provide policymakers, donors, and researchers with the highest-quality quantitative evidence base to make decisions that achieve better health. The GBD Cancer team focuses on producing annual estimates by country of mortality and morbidity due to various adult and pediatric cancers.
The main purpose of this position is to provide support to key research projects through database management, data quality management, computational support to multi-disciplinary research projects, data extraction and formatting, and providing key inputs for papers and presentations. Data Analysts must develop an understanding of different research needs and analytic functions across multiple projects to best meet researcher needs. Data Analysts must be able to independently translate requests into actionable results through interactions with research databases, formulation of displays of results, and development of complex code to be applied to a variety of quantitative data.
The Data Analyst must develop an understanding of different research needs and analytic functions across multiple projects to best meet researcher needs. They must be able to independently translate requests into actionable results through interactions with research databases, formulation of displays of results, and development of complex code to be applied to a variety of quantitative data. The position calls for dexterity working with complex databases and the ability to assess, transform, and utilize quantitative data using multiple coding languages such as Python and R. The individual must then quality control results to ensure that other team members have exactly what they need to incorporate the data and results into their own components of the analytic process, presentations, and papers.
Additionally, this position will work alongside other Data Analysts on complementary projects and will require knowledge and skill sharing and collective problem solving. Overall, the Data Analyst will be a critical member of an agile, dynamic research team. This position is contingent on project funding availability.
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 identify 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.
Create and document efficient, effective, and replicable methods for extracting data, developing code, organizing data sources, managing data quality, and explaining complex analytic processes.
Data Management and Analytics
Problem-solve computational and analytic challenges by investigating the data, understanding the root questions, and coming up with alternative measurement strategies.
Implement code solutions in order to answer analytic questions, perform diagnostics on results, and test and assess new methods.
Maintain, update, and adapt databases containing health data from multiple sources such as surveys, vital registration systems, administrative records, and published studies relevant to demographic estimation.
Maintain, update, and carry out routine but complex computational processes and statistical modeling that are central to generating estimates of key indicators.
Execute queries on databases and resolve intricate questions in order to respond to the needs of senior researchers and external requests from collaborators, media, policymakers, donors, and other stakeholders.
Bring together data, analytic engines, and data visualizations in one seamless computational process.
Use protocols to identify problems with datasets and routine computational processes, rectify issues, and systematize data for future analyses.
Transform and format data sets for use in ongoing analyses. Catalog and incorporate these datasets into databases. Perform quality checks.
Create tables, figures, and charts for presentations and publications.
Provide referencing and other support for publications and presentations.
Communicate clearly and effectively while contributing as a member of both the Institute and the research team.
Work closely with other team members to assist with relevant tasks, facilitate learning new skills, and to help resolve emerging problems on different projects.
Participate in overall community of the Institute, carrying out duties as required as a team with other Institute members.
As a UW employee, you will enjoy generous benefits and work/life programs. For detailed information on Benefits for this position, click here.
Bachelor's Degree in social sciences, engineering, computer science, or related field plus two years' related experience or equivalent combination of education and experience.
Demonstrated success in developing code in R, Python, SQL, or other coding language.
Interest in global health, population health, and/or ways in which quantitative research and data science can be used to create valuable global public goods.
Demonstrated self-motivation, ability to absorb detailed information, flexibility, and ability to thrive in a fast-paced, energetic, highly creative, and entrepreneurial environment.
Ability to learn new information quickly and to apply analytic skills to better understand complex information in a systematic way.
Strong quantitative aptitude.
Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.
Weekend and evening work sometimes required.
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, 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.
Committed to attracting and retaining a diverse staff, the University of Washington will honor your experiences, perspectives and unique identity. Together, our community strives to create and maintain working and learning environments that are inclusive, equitable and welcoming.
The University of Washington is a leader in environmental stewardship & sustainability, and committed to becoming climate neutral.
TThe University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.
To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 / 206-543-6452 (tty) or email@example.com.