Data Science Specialist/Librarian (Assistant or Associate)
Data Science Specialist/Librarian (Assistant or Associate)
Description
The University of Arizona Libraries invites you to apply to the role of Data Science Specialist/Librarian (Assistant or Associate rank).
Located within the University of Arizona Libraries Research Engagement department, Data Cooperative provides data science, geospatial, and digital scholarship services for the University of Arizona. The incumbent will contribute to a robust program supporting data analysis and visualization through a variety of formats, providing up-to-date and on-demand training for relevant tools and resources.
The Data Science Specialist / Librarian will: design, develop, and deliver instruction on data science topics such as Python programming; provide training in the use of software to support communication of scholarship through visual media; stay abreast of trends and tools available in the evolving data science ecosystem; work with library colleagues and researchers to identify appropriate tools, platforms, and resources for visualization and informatics projects; collaborate with other members of the Data Cooperative and Research Engagement to develop outreach strategies and partnerships for supporting projects on computational and data literacy; identify opportunities for impactful engagement in data visualization and analysis by the University Libraries; contribute to the scholarly record through research, creative works, and/or scholarship. The successful candidate will be appointed as a Specialist or Librarian, depending on their terminal degree.
This is a continuing-eligible or continuing status track, academic professional position. Incumbents are members of the general faculty and are entitled to all accompanying rights and privileges granted by the Arizona Board of Regents and the University of Arizona. Retention and promotion are earned through achievement of a record of excellence in position effectiveness, scholarship, and service.
Please visit the URL provided for more information and to apply.
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