1+ months


University of Washington
Seattle, WA 98104


Req #: 170351
Job Location: South Lake Union
Posting Date: 08/05/2019 
Closing Info: Open Until Filled 
Salary: Salary is commensurate with experience and education 
Limited Recruitment: Open to Department employees only
If you are a UW employee and would like to be considered for this position, please login to your UW employee profile to apply.
Shift: First Shift 

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. All of which has allowed the UW to be nationally recognized as a Great College to Work For for five consecutive years. 

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 Lead Research Scientist. As a Lead Research Scientist you will oversee a research team working on malaria elimination and burden reduction utilizing your established project management and supervisory skills. You will develop execution of research strategy, establish deadlines, deliverables, resources and provide methodological advice, interpretation, statistical and mathematical analysis and visualization of research area to meet IHMEs objectives.

We are looking for someone who has experience with analysis of big data, the ability to develop methods and tools, advanced knowledge of simulation models and methods, keeping up-to-date with the latest scientific findings and engineering/technical advances, and a maturing peer reviewed publication record. 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 advances and are able to translate these into your research. Overall, you will be joining and agile and collaborative team environment. This position is contingent on project funding availability.


  • Lead a research team in defining, executing, and managing analytic plans, developing execution of research strategy, establishing deadlines, deliverables, resources and provide methodological advice, interpretation, statistical analysis and visualization of research area to meet IHMEs objectives. Lead external collaboration efforts, innovative technological advances, and or oversee areas of the research for a defined research area.
  • Highly developed command of one or more of the research areas at IHME, including the methodology and its components.
  • Carry out quantitative analyses, develop models and algorithms for simulating malaria, and participate in reciprocal research projects. Interpret and vet results from junior staff, formulate conclusions.
  • Drive new methods to analyze structured and unstructured data; introduces novel diagnostics and presentation paradigms to communicate results.
  • Model the spatial transmission dynamics and control of malaria, develop methodologies for appropriate network analysis, and analyze the mesoscale structure of malaria transmission.
  • Critique results. Understand ground breaking techniques and creatively apply them in experimental ways to explore efficiencies and potential improvements to results.
  • Develop, test, and refine new statistical and mechanistic modeling methods and build tools so that others can apply them. Uses a variety of coding languages to do so (e.g. R, Python, Java, C, C++)
  • Supervise staff to include: hiring and training; leading workflow; priority setting; reviewing work and establishing quality standards; conducting regular performance assessments, providing mentorship and professional development for employees.
  • Publish peer reviewed manuscripts and publications as first author and present results to scientific, policy and donor audiences
  • Contribute to writing grant applications.
  • Communicate methods and results to different audiences, helping them to learn and apply new skills.
  • Assess skill gaps and identify training needs for team. Develop internal trainings to support professional development and succession planning for junior staff.
  • 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 detailed information on Benefits for this position, click here.


  • PhD or MD in public health, epidemiology, statistics, biostatistics, math, economics, quantitative social sciences or related field plus six years' related experience or equivalent combination of education and experience

    Additional Requirements:
  • Growing external peer network where sought out as a resource for having strong command with a given disease, risk, key indicator, relevant methodological area, and the related data sources and scientific underpinnings.
  • Experience supervising individuals on scientific research processes, analysis, and professional development.
  • Demonstrated project management experience including demonstrated ability to think independently, be flexible, and juggle multiple priorities required
  • Excellent analytic, critical thinking, and quantitative skills
  • 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, C++).
  • Excellent written and oral communication skills required, including track record publishing peer-reviewed publications as first author and co-author. Intermediate level of quality, quantity and degree of innovation of scholarly publications in multiple peer-reviewed journals.
  • Ability to thrive and guide others in a dynamic, team-oriented research environment with a focus on producing innovative, policy-relevant results.

    Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.


  • Experience with machine learning, data mining, and analytic techniques
  • Experience and facility with multiple data types.


    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.
  • 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 equal opportunity, affirmative action employer. To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 / 206-543-6452 (tty) or dso@uw.edu.

    Open to Department employees only If you are a UW employee and would like to be considered for this position, please login to your UW employee profile to apply.


    Posted: 2019-12-05 Expires: 2020-02-02

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    Seattle, WA 98104
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