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University of Washington


Seattle, WA
Entry level
Req #: 233902


Posting Date: 05/07/2024

Closing Info: Open Until Filled

Salary: $7,900 - $8,668 per month

Shift: First Shift

Notes: 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. ( )

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.

The UW Center for Environmental Health Equity (CEHE), housed in the Department of Environmental and Occupational Health Sciences, is seeking a full-time Data Scientist (payroll title: Research Consultant (E S 8)) to join the active interdisciplinary research team. The Data Scientist will advance the CEHE’s core mission to provide technical assistance by planning and executing data science research, translating research results into solutions and producing practical applications that will deliver lasting impact for environmental and energy justice. CEHE is a newly established interdisciplinary center at the UW and is one of 17 centers in the EPA’s Environmental Justice Thriving Communities Technical Assistance Center (EJ TCTAC) Program. CEHE will provide technical assistance to participants from Tribes and community-based organizations in Region 10 (Alaska, Idaho, Oregon, and Washington).


Conduct independent research (85%):

  • Contribute to significant open-source software projects using appropriate technologies in large-scale data management, machine learning and statistics, interactive visualization, spatial analyses, specialized data presentation interfaces, and/or other data science techniques. Work to release open-source software and open data, help ensure scientific reproducibility of all results, and contribute to a “culture of reproducibility” across campus.
  • Produce new research products such as well-documented algorithms and code, software, and research publications. Review, evaluate, and advise others regarding potential projects for technical merit and feasibility.
  • Organize and conduct webinars, workshops and training events in data science techniques and technologies for diverse target audiences. Meet with potential collaborators to clarify goals, identify collaboration opportunities and recommend solutions. Advance a reputation outside of UW for excellence in data science methods and practice, contributing to the Institute’s overall portfolio of successful projects and programs.
  • Contribute to the Center’s research and technical assistance work by seeking grants from both traditional agencies and novel channels to develop analytical and computational tools. Foster and build research collaborations with other researchers at UW.
  • May supervise and train a student Research Assistant to assist with projects.Support various needs of the Center (15%):
  • Participate on the multidisciplinary team of Center faculty, post-doctoral fellows, and staff to develop reports required to sponsor and present at annual Center retreat activities.
  • Prepare and deliver presentations on significant results, both internally and externally, representing the Center as well as specific projects.
  • Develop web materials communicating significant results, best practices and case studies with specific technologies, and documentation for significant software.
  • Participate in core team meetings and activities. Serve on standing and/or ad hoc teams such as hiring committees, equity team, etc. Participate as needed and interest arises in other core programs of the center. Hold open office hours for students, faculty, staff and post-docs. MINIMUM REQUIREMENTS
  • Master degree in environmental health sciences; biostatistics; computing; geography or related field. Minimum one year in the following areas.
  • Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration. ADDITIONAL REQUIREMENTS
  • Experience in programming and applied software engineering and/or advanced statistical methods including experience:
  • Applying one or more programming languages to construct full scientific pipelines, from data ingestion / clean-up to modeling, to visualization and analysis. Collaborating and coordinating work via an online platform, such as GitHub, GitLab, or BitBucket, and distributed revision control.
  • Conducting spatial analysis of complex datasets and developing spatial analytical methods and tools.
  • Experience conducting population health equity spatial analyses.
  • Skills to communicate complex information in a clear and concise manner both verbally and in writing.
  • Strong capacity for teamwork, collaborative, critical thinking, and attention to detail.
  • Ability to work independently and use own judgement to develop/apply appropriate scientific techniques/procedures to solve data science problems. DESIRED QUALIFICATIONS
  • PhD Degree or equivalent in environmental health sciences, with a strong computational background.
  • Three to four years of experience in programming and applied software engineering and/or advanced statistical methods.
  • A successful research track record, especially through collaborations outside one’s own field, as evidenced by joint publications, joint grants, and collaborative software outputs.
  • Previous experience in the University of Washington School of Public Health.
  • Leadership in collaborative projects in open-source software development.
  • Experience engaging with highly technical researchers across a variety of methodological fields, research domains, and computational platforms.
  • Experience engaging with community partners external to the university/academic environment.
  • Experience with seeking extramural funding to support research, education and training programs. Application Process: The application process 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 Work 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 access 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.

University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, sexual orientation, gender identity, sex, age, protected veteran or disabled status, or genetic information.

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