RESEARCHER, ARBOVIRUS INVASION
|Req #: ||141130 |
|Department: ||INSTITUTE FOR HEALTH METRICS AND EVALUATION |
|Appointing Department Web Address: ||http://www.healthdata.org |
|Job Location: || Downtown Seattle |
|Job Location Detail: ||2301 5th Ave, Suite 600 |
|Posting Date: ||03/29/2017 |
|Closing Info: || Open Until Filled |
|Salary: ||Salary is commensurate with experience and education |
| The University of Washington (UW) is proud to be one of the nation's premier educational and research institutions. Our people are the most important asset in our pursuit of achieving excellence in education, research and community service. Our staff not only enjoys outstanding benefits and professional growth opportunities, but also an environment noted for diversity, community involvement, intellectual excitement, artistic pursuits, and natural beauty. |
The Institute for Health Metrics and Evaluation (IHME) is a growing organization 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. It uses cutting-edge techniques to tackle some of the most difficult and most critical questions in global health and find answers that will become the foundation for better policies and, ultimately, better health. IHME is seeking to revolutionize the way we track diseases around the world by developing innovative geospatial analytic methods to produce increasingly granular estimates of diseases and determinants.
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.
Carry out quantitative analyses and participate in collaborative research projects.
Devise and apply innovative methods in hierarchical Bayesian geo-statistical modeling techniques to elucidate generalizable patterns and drivers of invasion and spread of dengue virus at fine scales.
Develop and apply simulation-based model-fitting techniques such as iterated filtering and Approximate Bayesian computation
Communicate with external collaborators in order to best understand the nature, key characteristics, and context of the data, engage in critiques of the analytic results, and disseminate findings.
Develop and maintain relationships with designated collaborators. Respond to and, as appropriate, integrate feedback from collaborators into the analyses. Work directly with collaborators to understand data to which they have access, and to in turn help them understand the methods being applied. Help to manage and orchestrate joint strategies for analysis.
Assess and coordinate with others on the integration of analytic methods into computational machinery and with evolving databases so that the results can be produced as part of an overall system supporting the geospatial analyses portfolio and be used in conjunction with results from other research streams at IHME.
Be an effective communicator with other staff on the project of varying levels, disciplines, and authority to achieve team goals for the analyses and related outputs.
Contribute and develop ideas for new research projects.
Publication and dissemination
Write and lead publication of research findings in national and international peer-reviewed journals and other publications.
Present papers at national and international conferences to disseminate research findings.
Represent the research group and the Institute at external meetings, seminars, and conferences.
Lead discussion in research meetings about results and analyses in order to vet, improve, and finalize results.
Document code and analytic approaches systematically so that analyses can be replicated by other team members.
Support project leaders in the development new funding proposals Become a fully contributing member of the IHME team overall, lending help and support where needed, participating in mutual intellectual critique and development with colleagues, leading trainings where relevant, and acting as a mentor to more junior staff contributing to the research process.
As a UW employee, you will enjoy generous benefits and work/life programs. For detailed information on Benefits for this position, click here.
| 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. |
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
|CONDITION OF EMPLOYMENT:|
| Appointment to this position is contingent upon obtaining satisfactory results from a criminal background check. |
Evening and weekend work may be required.
International travel (to Peru) may be required.
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.