Overview

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; 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) Health Systems 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 main purpose of this position is to provide support to the Drivers of Maternal Mortality project, and other key research areas, through database management, data quality management, computational support to multidisciplinary 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 by interacting with research databases, formulating displays of results, and developing 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 and geospatial data using multiple coding languages such as R and Python. 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.

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 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 datasets for use in ongoing analyses. Catalog and incorporate these datasets into databases.
  • Perform quality checks.

General

  • 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 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.

REQUIREMENTS

  • Bachelor’s degree in social sciences, engineering, computer science, or related field plus two years’ related experience, or equivalent combination of education and experience.

Additional Requirements:

  • Proficient in developing code in R and Python.
  • Experience working in mapping methodologies and Geographic Information Systems.
  • Experience in analyzing and/or manipulating spatial data.
  • Experience working with administrative datasets, in particular those from government records, hospital data, and health care data.
  • 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 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.

CONDITIONS OF EMPLOYMENT

  • Weekend and evening work sometimes required.

Office is located in Seattle, Washington. This position is eligible to work fully remote; work schedule required to overlap 50% of IHME office hours between 8am and 6pm 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 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.

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.

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.

The 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 or dso@uw.edu.

Tagged as: coding, data analysis, data management, global health, public health

About Institute for Health Metrics and Evaluation

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; 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.