University of Washington School of Public Health

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Notice!This listing has expired and should not be applied for.
Location: Seattle, WA
Full-time position
Closing Date: open until filled
Job #11296
Posted: March 30, 2017

IHME has an outstanding opportunity for a Researcher whose work will focus on developing and applying hierarchical Bayesian geo-statistical modeling techniques to elucidate generalizable patterns and drivers of invasion and spread of dengue virus (DENV) at fine scales. Further, the researcher will develop and implement simulation methods (e.g., iterated filtering) for matching an existing agent-based model of fine-scale transmission dynamics to the patterns identified.

The Researcher will be a critical member of an agile and dynamic research team developing new approaches and producing detailed estimates that will empower policymakers and donors to make optimal decisions about allocating funds and prioritizing interventions. The individual will be expected to interact successfully with and describe complex concepts and materials concisely to a wide range of stakeholders, including high-level individuals in government or other organizations.

The work will focus primarily on DENV transmission in Iquitos, Peru, where household-level epidemiological and entomological data has been collected for over 14 years. The Researcher will work closely with a multi-institutional collaborative team to advance this work.

The Researcher must develop a command of the methods developed and deployed and the rationale for them. In this case, the methods are about modeling the invasion of novel dengue serotypes into Iquitos in time and space. The research team was on the ground collecting spatio-temporally explicit data during both the 2001 invasion of DENV-3 and the 2008 invasion of DENV-4. These datasets provide an unprecedented opportunity to model pathogen invasion as it occurred.

The individual will also be responsible for contributing to papers, presentations, and other materials to help disseminate results. This position is contingent on project funding availability.

  • Master’s in statistics, mathematics, theoretical ecology, computer science, physics, economics, engineering, biostatistics, epidemiology, or other relevant subject, plus three years’ related experience or equivalent combination of education and experience.

    Additional  Requirements:
  • Demonstrated interest in the research described.
  • Experience in and demonstrated success in scientific computing using at least one of the following programming languages: R, Python, C++.
  • Developing and analyzing simulation models.
  • Excellent analytical and quantitative skills.
  • Good publication record.
  • Ability to independently plan and execute research projects.
  • Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.
  • Ability to thrive in a fast-paced, team-oriented research environment with a focus on producing innovative, policy-relevant results.
  • Practical experience in one or more of the following: hierarchical Bayesian geo-statistical modeling techniques, simulation-based model-fitting techniques (e.g., pMCMC), invasive species modeling (with particular attention to fine-scale pathogen invasion), statistical inference, stochastic processes, infectious disease, and expertise in developing models in any of these.

    Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.
  • PhD in statistics, mathematics, theoretical ecology, computer science, physics, economics, engineering, biostatistics, epidemiology, or other relevant field.
  • Experience in Bayesian computation strongly preferred.
  • A theoretical and practical understanding of infectious disease epidemiology.
  • Expertise in a second computer programming language or mathematical platform.
  • Some experience with agent-based models
How to Apply:

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, Criminal Conviction History, 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.

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