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 understanding 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, the 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 comprised of over 20,000 cores. At IHME, you'll have a unique opportunity to work on complex, novel, and meaningful problems, and explore tools and technologies in depth.
This requires creativity and innovation, which is cultivated by an inclusive, diverse, and equitable environment. If you join IHME, you’ll be joining a team of dynamic, mission-oriented people who are committed to creating a welcoming and diverse workforce that respects and appreciates differences, and embraces collaboration.
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.
- Bachelor’s Degree in computer science, mathematics, engineering, statistics, or related field plus three 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:
- Evenings and weekends sometimes required.