At #UCDavis: Academic Coordinator Position at the Data Science Initiative

See https://www.lib.ucdavis.edu/ul/about/jobs/dsi-academic-coordinator.php

Academic Coordinator

Data Science Initiative
University of California, Davis

The University of California, Davis, Data Science Initiative (DSI) is looking for an innovative, enterprising individual with a passion for bringing data science to researchers and students and developing programs to build and support a vibrant, multidisciplinary data science community and culture on campus. The Academic Coordinator will work closely with the DSI Directors to further develop and realize the goals and plans for the initiative and also to coordinate the many varied activities of the initiative. The incumbent will engage with researchers from across campus, identify collaboration opportunities, develop and manage projects, and organize research. The Academic Coordinator will play a significant role in planning the long-term structure of data science services on campus. She/he will also develop working relationships with industry affiliates and other institutions, including national laboratories.

Salary: $64,920-$126,468 (Appointment rank and salary based on qualifications and experience).

For additional details and information on how to submit an online application, please visit
https://www.lib.ucdavis.edu/ul/about/jobs/dsi-academic-coordinator.php

Candidates applying by October 12, 2016, will receive first consideration. The position will remain open until filled.

UC Davis is an Affirmative Action/Equal Opportunity Employer.

UC Davis is a smoke- and tobacco free campus effective January 1, 2014.

This entry was posted in Misc. and tagged by Jonathan Eisen. Bookmark the permalink.

About Jonathan Eisen

I am an evolutionary biologist and a Professor at U. C. Davis. (see my lab site here). My research focuses on the origin of novelty (how new processes and functions originate). To study this I focus on sequencing and analyzing genomes of organisms, especially microbes and using phylogenomic analysis

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