|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 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; Cost Effectiveness and Efficiency; 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 are 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 Specialist to join the Brain, Back Pain, and other MSKs, Injuries, Renal, Respiratory, Diabetes, Drugs, and Sensory (BIRDS) team. This position will work with a dynamic team of researchers and staff on a diverse array of topic areas. The Data Specialist is expected to become specialized in data and pipelines pertaining to the content area and will consult with researchers as needed to analyze and summarize data for analysis, presentation, and publication. To create the array of indicators required, this position integrates all available relevant quantitative data from surveys, censuses, literature, and administrative records into central databases. The Data Specialist will make use of innovative, cutting-edge analytic methods to help produce comparable estimates of the impact of diseases, injuries, and risk factors across the globe.
We are looking for someone who has a command of a variety of research needs and analytic functions. The Data Specialist must be able to independently translate requests into actionable results by writing and implementing novel code. The individual must be adept at navigating complex databases and analytic engines, be able to design and interpret code and diagnostics, communicate and explain code behavior and results to audiences with a range of technical skills, and troubleshoot problems in order to resolve them. They must be able to independently interpret results to assess their quality and must be able to assess, transform, and utilize a broad array of quantitative data using multiple coding languages (Python, R, SQL). Frequently the individual will be given assignments where a desired end result is identified but there is no preset path laid for achieving it. The individual therefore must carry out individual planning and problem solving to resolve computational questions and produce results.
This position will additionally work alongside other research staff on complementary projects and will require knowledge and skill sharing and collective problem solving. Overall, the Data Specialist will be a critical member of an agile, dynamic research team. This position is contingent on project funding availability.
• Exhibit command of one or more of the research areas at IHME, including their basic tenets, principles, and the nature of the data and results.
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.
• Create tables and figures, and generate text for presentations and publications, drawing upon data and information from a multitude of sources.
• Bachelor’s degree in social sciences, engineering, computer science, or related field plus four years’ related experience, or equivalent combination of education and experience.
Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.
• Demonstrated success in developing code in R, Python, SQL. This position specifically requires expertise in Python and familiarity with R as well.
• Weekend and evening work sometimes required.
|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 firstname.lastname@example.org.
COVID-19 VACCINATION REQUIREMENT
Governor Inslee’s Proclamation 21-14.2 requires employees of higher education and healthcare institutions to be fully vaccinated against COVID-19 unless a medical or religious exemption is approved. Being fully vaccinated means that an individual is at least two weeks past their final dose of an authorized COVID-19 vaccine regimen. As a condition of employment, newly hired employees will be required to provide proof of their COVID-19 vaccination. View the Final candidate guide to COVID-19 vaccination requirement webpage for information about the medical or religious exemption process for final candidates.