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Job Details


Salary is commensurate with ex

Seattle, WA, United States

Posted on
Oct 15,2018

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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 four consecutive years.

The Institute for Health Metrics and Evaluation (IHME) is an independent research center at the University of Washington focused on expanding the quantitative evidence base for health. 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 on the Local Burden of Disease (LBD) project
. This project aims to produce estimates of health outcomes and related measures that cover entire continents, but to do so at a very fine, local resolution. Such estimates will allow decision-makers to target resources and health interventions precisely, so that health policy decisions can be tailored for local areas rather than entire countries. A few of the conditions this work will touch on includes, pneumonia and its etiologies, diarrhea and its pathogens, malaria, child growth failure, HIV/AIDS, tuberculosis, Ebola, as well as neglected tropical diseases. Through the development and use of geospatial techniques to synthesize information at the local level, and in partnership with key collaborators around the world, IHME will present results in interactive high-resolution maps to illuminate levels, trends, and disparities in health outcomes.

This position will use model-based geostatistics (MBG) among other innovative analytical methods and devise ways to carry them out more easily and routinely. By enhancing existing computational pipelines and writing novel computational solutions, this position helps resolve challenges to enable the timely and efficient production of high-caliber scientific and policy-relevant results. The solutions developed must allow databases and analytic engines to function seamlessly with one another. This Researcher must develop a command of the methods developed and the rationale for them. They are expected to create and deploy code to carry out complex statistical methods potentially utilized by all team members. This individual will be a key contributor to discussions about: 1) statistical and computation methods development, 2) strategic decision-making of implementation of methods into existing computational infrastructure, and 3) on-going improvements to the architecture of our code base. In addition, this individual will also be expected to collaborate with other team members on 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.
Undertake innovative applied research and application of model-based geostatistics, addressing issues such as sample bias and spatial dependence with an emphasis on improving predictive performance.
Develop and implement new computational and statistical methods to map health and health-related indicators of substantial global health importance.
Write, document, test, and run relevant computer code (primarily R with the possibility of Python, C, and C ).
Maintain, improve, and distribute completed software as part of continuous integration of the LBD software pipeline supporting the geospatial analyses portfolio.
Coordinate with other teams to integrate methods and results of separate research streams.

Lead discussion in research meetings about results and analyses in order to vet, improve and finalize results.
Document code and analytic approaches clearly and systematically for users and other developers
Become a fully contributing member to 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.
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.
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.

As a UW employee, you will enjoy generous benefits and work/life programs. For detailed information on Benefits for this position, click here.
Masters in statistics, epidemiology, mathematics, engineering, public health or other related scientific computing field, plus three years related experience or equivalent combination of education and experience

Additional Requirements:
Demonstrated success in scientific computing using at least one of the following programming languages: R, Python, C, C . R strongly preferred.
Excellent analytical and quantitative skills.
Ability to independently plan and execute research projects.
Excellent communication skills, including the ability to present research proposals and results, and represent the research group overall.
Ability to thrive in a fast-paced, team-oriented research environment with a focus on producing innovative, policy-relevant results.
Demonstrated interest in the research described.

Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.
PhD in statistics, epidemiology, mathematics, engineering, public health or other related scientific computing fields
Experience with Linux and cluster computing environments
Practical experience in one or more of the following: statistical inference, stochastic processes, space-time mathematical models, or infectious disease modeling
Experience contributing to a collaborative software project and working with a version control system (git, svn, etc).
Experience with survey data and administrative data from health facilities
Experience in handling spatial data.
Expertise in additional programming languages or mathematical software packages

Weekend or evening work may be required.

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.
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, ****-543-6452 (tty) or ****

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