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Senior Data Scientist

eScience Institute - University of Washington
Seattle, Washington State
$10,416 - $11,000 per month

Job Details

Title: Senior Data Scientist
Location: Hybrid – Seattle, WA
Salary: $10,416 – $11,000 per month
Benefits: Health, Dental, Vision, Retirement, and more. For a complete list, please see our benefits website:

The eScience Institute at the University of Washington is currently hiring a researcher with strengths in data-intensive methods to join our team as a Data Scientist. The eScience Institute is a home for researchers who are passionate about data-intensive methods and interested in a fulfilling and secure academic career outside the faculty pathway. This full time, fully-funded, permanent position is an outstanding opportunity for someone who is excited about advancing best practices for data science in the arts, engineering, humanities and science and also looking to develop an independent research agenda. 

Data Scientists in the eScience Institute provide guidance and expertise to the University of Washington community, including students, post-docs, staff and faculty on the best-practices for, and appropriate application of, data science methods.  The ideal candidate will have substantive training or experience in a disciplinary area and a passion for working to address grand challenges through the use of data, data-intensive methods, or computation. 

The eScience Institute includes a broad interdisciplinary community with 150 faculty affiliates providing many opportunities for developing a network of potential research collaborators.

Job posting can be found here:



The eScience Institute at the University of Washington is focused on empowering researchers and students to address fundamental questions of data science through the use of large, complex and noisy data. The eScience team brings together expertise in advanced statistical and computational techniques including artificial intelligence, machine learning, database management, visualization, and research software engineering. Our diverse group of data scientists have helped developed a suite of education, research, and community-building programs to help make data science accessible to a wide range of audiences.

Company info
3910 15th Ave NE
Box 351570
United States

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