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; 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 excellent opportunity for a Research Scientist to join our Reproductive, Genitourinary, and Digestive Disease estimation (RGUD) team for the Global Burden of Disease (GBD) study. This position will focus on local drivers of maternal mortality. We are looking for someone ready to advance in their career in global health research.
As a Research Scientist, you will be integrally involved in producing, critiquing, improving, and disseminating results from GBD and related projects. You will develop novel applications of state-of-the-art geospatial modeling techniques to estimate local patterns of maternal health outcomes and their determinants. You will assess all available relevant quantitative data – including those on causes of death, epidemiology, and a range of determinants such as education and income – from surveys, vital registration, censuses, literature, registries, and administrative records. Additionally, you will provide leadership on the RGUD team by contributing to research design and training and mentoring junior staff. You will also work closely with the Neonatal and Child Health (NCH) and Health Systems teams.
You are someone who is capable of keeping on track to meet deadlines and research objectives. You have experience with the publication process, and at IHME, you will build out your portfolio with several peer-reviewed papers. You thrive in a collaborative work environment and are capable of working on multiple projects concurrently while meeting deadlines. You keep current of recent scientific, engineering, and technical advances and are able to translate these into your research. This position is contingent on project funding availability.
Exhibit command of maternal and reproductive health research topics, including the methodology and its components.
Contribute to research design, with emphasis on small-area analysis and geospatial statistics. Develop novel approaches and extensions to Local Burden of Disease and Global Burden of Disease analyses to increase the geographic granularity of maternal health estimates to support local-level decision-making around the globe.
Independently carry out quantitative analyses and participate in reciprocal research projects. Interpret and vet results from junior staff, formulate conclusions, and inform team leaders.
Develop, quality check, and distribute complex datasets to be used in epidemiological and statistical analyses.
Develop and implement new computational and statistical methods. Create, test, and use relevant computer code (R, Stata, Python). Maintain, modify, and execute analytic machinery that results.
Draft presentations and manuscripts, and contribute to funding proposals. Lead and co-author scientific articles in peer-reviewed journals.
Maintain scientific awareness and intellectual agility with data, methods, and analytic techniques.
Participate in hiring and training, leading workflow, priority setting, critiquing work and establishing quality standards, and providing mentorship to more junior employees.
Provide ideas and content for the development of internal trainings. Teach established trainings.
Other duties as assigned that fall within reasonable scope of research team.
As a UW employee, you will enjoy generous benefits and work/life programs. For a complete description of our benefits for this position, please visit our website, click here.
Master’s degree in public health, epidemiology, statistics, biostatistics, math, economics, quantitative social sciences, or related discipline plus four years’ related experience, or equivalent combination of education and experience.
Experience with geographic information systems and small area analysis.
Excellent analytic, critical thinking, and quantitative skills.
Orientation to details and results; ability to initiate and complete tasks under tight deadlines and changing priorities both independently and in a team environment. Flexibility with hours and workload.
Experience devising and executing statistical modeling techniques.
Demonstrated ability to quickly recognize problems in results and identify root causes in data, methods, and code.
Ease in designing, executing, and troubleshooting code in one or more languages, e.g., R, Python, Stata. A candidate with demonstrated proficiency in one or more languages other than R is acceptable, but such a candidate should be prepared to establish proficiency in R rapidly upon hiring.
Excellent written and oral communication skills required, including track record of success in co-authorship on multiple scientific papers and presenting results at meetings.
Ability to work both independently and in collaboration with a team.
A long-term interest in a research scientist position contributing to the overall mission of our research.
A commitment to working alongside others at IHME to illuminate the health impacts of systemic racism and to work within IHME to make our organization more diverse and inclusive. See IHME’s DEI statement here: http://www.healthdata.org/get-involved/careers/dei.
Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.
Expertise with geographic information systems and small area analysis.
MD or PhD in public health, epidemiology, statistics, biostatistics, math, economics, or quantitative social sciences plus two years’ experience preferred.
Experience with maternal, child, reproductive, or genitourinary disease epidemiology.
Experience with primary data collection in the setting of large-scale epidemiologic studies or household surveys.
Experience mentoring and developing junior employees on soft and technical skills.
Experience with project management methods.
Peer-reviewed publication record.
CONDITIONS OF EMPLOYMENT
This position is open to anyone authorized to work in the U.S. The UW is not able to sponsor visas for staff positions.
Weekend and evening work sometimes required.
Office is located in Seattle, Washington. This position is eligible to work fully remote in the US; 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.
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 undergraduate 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.