Data Science Specialist​/Librarian; Assistant or Associate

Data Science Specialist/Librarian (Assistant or Associate)

The University of Arizona Libraries invites you to apply for the role of Data Science Specialist/Librarian (Assistant or Associate rank) within its Research Engagement department. This continuing‑eligible academic professional position is a member of the general faculty and offers continuous status, promotion based on effectiveness, scholarship, and service. The incumbent will design, develop, and deliver instruction on data science topics such as Python programming, provide on‑demand training for relevant tools, and collaborate with library colleagues and researchers to identify appropriate resources for visualization and informatics projects.

They will also contribute to outreach strategies, partnerships, and scholarship, including original research and creative works.

We will be hosting an informational webinar on December 11, 2025 from 10:00 – 11:00 am MST – no registration needed.

We encourage you to apply. Please use your cover letter to tell us about your interest in data science support and what you hope to bring to the role.

• Data Science Outreach and Services
  • Develop and lead training opportunities in tools and resources such as data visualization, data analytics, and/or predictive analytics.
  • Develop and lead training opportunities in introductory‑level Python programming.
  • Provide consultations to researchers on data analyses and visualization.
  • Create effective marketing strategies for visualization and analysis services.
  • Contribute to web resources to aid in discovery of visualization and analysis resources.
  • Collaborate with the Data Cooperative unit and Research Engagement department to support scholars and researchers throughout respective project life cycles.
• Programmatic Liaison to Campus Partners
  • Partner with the Office of Research & Partnerships and Research Computing to support researchers needs for computational resources for data‑intensive science.
  • In collaboration with the Office of Research & Partnerships, organize Software and Data Carpentry workshops for researchers at the University of Arizona.
  • Collaborate with relevant academic liaisons to support data science needs at the University of Arizona.
• Library Support
  • Provide leadership on engaging Library personnel with visualization and/or analytical approaches relevant to their portfolios.
  • Communicate information on activities to Library staff and the University community.
  • Participate in shared decision‑making, goal setting, and planning activities within the domain.
  • Support the Research Data Repository by participating in occasional dataset curation activities.
• Scholarship
  • Conduct original research and scholarship and disseminate findings through publication and participation in professional conferences.
  • Plan and implement a continuous learning program that develops and improves personal skills and abilities and professional knowledge needed to meet the above responsibilities.
• Service
  • Support the profession through participation in professional societies, organizations, and initiatives.
  • Support the Libraries and UA with strategic initiatives designed to encourage varied perspectives and create a positive environment for all faculty, staff, and students.
  • Participate on committees and other service groups as assigned. The teams and amount of work may vary from year to year and includes participation in UAL shared governance.
  • The UA Libraries support the UA's strategic initiatives designed to create a welcoming environment for all faculty, staff, and students. The candidate is expected to support related strategic efforts in the department and Libraries.
  • Other duties as assigned.

• Demonstrated expertise in training audiences with a variety of experiences and perspectives.
• Ability to work in a highly collaborative environment, one that values and leverages the benefits of a variety of perspectives.
• Knowledge of resources used to visualize data and communicate findings and trends.
• Proficiency in Python data analysis and visualization resources.
• Interest in promoting affordable, relevant open source software to appropriate audiences.
• Excellent…