Salary is commensurate with experience and education
The University of Washington (UW) is proud to be one of the nation's premier educational and research institutions. Our people are the most important asset in our pursuit of achieving excellence in education, research and community service. Our staff not only enjoys outstanding benefits and professional growth opportunities, but also an environment noted for diversity, community involvement, intellectual excitement, artistic pursuits, and natural beauty.
The Institute for Health Metrics and Evaluation (IHME) is an independent research center at the University of Washington focused on expanding the quantitative evidence base for health. A core research area for IHME is the Global Burden of Diseases, Injuries, and Risk Factors (GBD) enterprise. 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. The GBD estimates require data pipelines and analytic tools capable of processing petabytes of data in a high-performance computing environment composed of over 12,000 cores.
IHME is looking for a Software Engineer to build and improve the efficiency, operability, and performance of complex analytic code as the enterprise continues to grow in both size and scale. Members of the Engineering team currently code in Python but must read legacy code in statistical languages such as R or Stata and interact with data stored in SQL databases. A successful candidate will be passionate about big data technology, experienced in the full software development lifecycle, and committed to being a key contributor to an autonomous and agile development team in pursuit of solving interesting problems to turn raw data into global impact.
Create and implement software solutions to turn experimental research methods into a high-performance, production-ready code base.
Redesign and refactor existing code to improve efficiency, operability, and performance while maintaining high-quality and reproducible results.
Optimize code efficiency and parallelize across a massive computing cluster to enable researchers to quickly produce results.
Enforce and assure the quality of GBD software products through the use of continuous integration, automated unit testing, code versioning, and code coverage tools.
Explore new technologies and make recommendations as to their adoption.
Provide input to timelines to deliver both iterative milestones and completed products.
Become familiar with the different components of the analytic process and their purpose.
Communicate clearly and effectively while contributing as a productive member of the technology team and the Institute as a whole.
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 computer science, mathematics, engineering, statistics, or related field plus two years' related experience, or equivalent combination of education and experience.
Demonstrated expertise in developing code in Python, Java, or other coding language.
Experience in scientific software packages such as scipy, pandas, and numpy, or expressed interest in learning them.
Experience deploying software to Linux servers.
Strong sense of focus and attention to detail.
Ability to plan and organize technical projects.
Demonstrated organizational skills, self-motivation, flexibility, strong communication skills, and the ability to thrive in a fast-paced, energetic, highly creative, entrepreneurial environment.
Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.
Linux systems experience
Experience with application containerization using Docker, Rancher
Statistics and/or public health interest
Experience with SQL databases
Automation experience and/or a desire to automate all the things
CONDITIONS OF EMPLOYMENT
Appointment to this position is contingent upon obtaining satisfactory results from a criminal background check.
Evenings and weekends may be required.
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, Criminal Conviction History, 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.
Founded in 1861, the University of Washington is one of the oldest public institutions in the west coast and one of the preeminent research universities in the world. The University of Washington is a multi-campus university comprised of three different campuses: Seattle, Tacoma, and Bothell. The Seattle campus is made up of sixteen schools and colleges that serve students ranging from an undergra...duate level to a doctoral level. The university is home to world-class libraries, arts, music, drama, and sports, as well as the highest quality medical care in Washington State and a world-class academic medical center. The teaching and research of the University’s many professional schools provide undergraduate and graduate students the education necessary toward achieving an excellence that will serve the state, the region, and the nation. As part of a large and diverse community, the University of Washington serves more students than any other institution in the Northwest.