The Institute for Health Metrics and Evaluation (IHME) is an independent research center at the University of Washington. Its mission is to monitor global health conditions and health systems, as well as to evaluate interventions, initiatives, and reforms. IHME carries out 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; Local Burden of Disease; Resource Tracking; and Impact Evaluations. The aim is to provide policymakers, donors, and researchers with the highest-quality quantitative evidence base to make decisions that achieve better health.
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. 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 GBD results, with an emphasis on maternal and reproductive health topics. IHME researchers analyze and produce key estimates for their assigned research team and 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, training, and mentoring junior staff, with particular emphasis on staff for projects and grants that expand on or improve maternal and reproductive estimation.
You are someone that 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 one or more maternal and reproductive health research topics, including the methodology and its components.
- 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 data sets 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 or equivalent). Maintain, modify, and execute analytic machinery that results.
- Draft presentations, 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.
- Contribute to research design.
- 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.
- 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, SAS, SQL). A candidate with demonstrated proficiency in one or more languages other than R is acceptable, but such a candidate should be prepared to rapidly establish proficiency in R 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.
- PhD or MD in public health, epidemiology, statistics, biostatistics, math, economics, quantitative social sciences plus two years’ experience preferred.
- Experience coding in Python.
- 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 with geographic information systems and small area analysis.
- Experience mentoring and developing junior employees on soft and technical skills.
- Experience with project management methods.
- Peer-reviewed publication record.
CONDITIONS OF EMPLOYMENT
- Weekend and evening work sometimes required.
- This position is eligible to work fully remote; work schedule required to overlap 50% of IHME office hours between 8am and 6pm Pacific Time.
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.