Data Science Teaching Librarian

Position number: 00007948

Join the NC State University Libraries and help us create adventurous, innovative services and library spaces that delight students, faculty, and researchers. The award-winning James B. Hunt Jr. Library on NC State’s Centennial Campus, offers access to advanced technologies that are enabling revolutionary ways to see and use information. Capturing NC State’s spirit of innovation in education and research, the Hunt Library is recognized as one of the world’s most creative and inspirational learning and collaborative spaces and a model for “the library of the future.” The D. H. Hill Jr. Library, serving the main campus, combines the best of tradition and innovation, housing special collections and a beautiful gallery alongside vibrant, experiential spaces for making, digital media creation, data analysis and visualization, and collaboration. Three branch libraries focus on design, natural resources, and veterinary medicine. 

The NC State University Libraries invites applications and nominations for the position of Data Science Teaching Librarian. The Data & Visualization Services (DVS) department (7 librarians, 1 specialist, plus graduate student assistants) helps students and other researchers develop critical data science and visualization skills through expert consultation, workshops, and classroom instruction. The department provides support for a wide range of data lifecycle activities including data collection, discovery, access, evaluation, cleaning, preprocessing, transformation, modeling, analysis, geospatial techniques, and visualization. The department is the service owner for the Dataspace in the Hunt Library and the Data Experience Lab in the Hill Library, community-oriented spaces offering specialized computing, expert assistance, and programs and services supporting data science and visualization. DVS collaborates with others in the Libraries and with NC State’s Data Science and AI Academy (DSA), a university-wide effort to meet the university’s growing needs for data science research, education, and expertise. The DSA is located in the Hill Library and works with library staff on data consultation, instruction, and programs to ensure that at NC State, “data science is for everyone.”

Responsibilities

The Data Science Teaching Librarian designs, develops, and delivers training sessions on data and visualization topics, as part of an open workshop series offered to the university community and/or as course-integrated instruction sessions. They coordinate the DVS open workshop series and/or instruction program, including: creating and documenting procedures; tracking completion of assessment needs; reviewing and assessing offerings; and developing outreach strategies. They conduct outreach to and engage with faculty, campus groups, and external partners to support the university’s data and visualization needs. They provide training on delivering workshop-style instruction to the graduate student assistants and to other members of DVS. They provide consultative support for students, faculty, and researchers on data science and visualization topics. The position deeply considers how their approach to their daily work reflects and advances the Libraries’ Strategic Plan, creating an environment and community that is welcoming for both patrons and colleagues alike. The position collaborates with colleagues and other university faculty on data-related initiatives and projects, and they contribute to departmental projects and initiatives. The position participates in library planning and serves on library-wide committees, task forces, and teams. Librarians are expected to be active professionally and to contribute to developments in the field. The position reports to the Head, Data & Visualization Services.

NC State promotes an integrated approach to problem solving that transforms lives and provides leadership for social, economic, and technological development across North Carolina and around the world. NC State’s land grant mission of teaching, research and service is dedicated to the service of North Carolina and its people. Applicants are encouraged to review the institution’s mission, vision and strategic plan, and consider how their background, interest and experience would enable them to support the university.

This position is based in North Carolina. This position is eligible for flexible hours with a hybrid work environment. This position will require frequent onsite work.

Required Qualifications
  • ALA-accredited MLS, MIS, or other relevant, advanced degree

Applicants are encouraged to think broadly about and communicate how their skills and experiences transfer to the qualifications below, including in ways that may not be obvious, such as how non-library-specific skills and experiences speak to the position responsibilities. We strongly encourage and welcome applicants with a variety of backgrounds, interests, and experiences to apply for this position, including those new to the profession.

  • Experience developing and delivering instruction, workshops, or training on data topics and/or tools
  • Proficiency with at least one application or programming language for preparing, analyzing, or visualizing data
  • Demonstrated ability to learn and apply new technical skills and tools; evidence of ongoing, self-directed learning
  • Knowledge of the provision of data services in academic environments 
  • Ability to foster an environment of belonging and well-being
  • Ability to communicate clearly and knowledgeably through a variety of mediums; ability to represent the Libraries to university and external audiences
  • Evidence of ability for ongoing professional development and contribution to the library profession
  • Demonstrated ability to collaborate effectively and work in a team environment 
Preferred Qualifications

It is not required that candidates meet any of the preferred qualifications to be considered for this position. The following skills represent some of the areas in which this position could potentially grow and focus, based on the incumbent's background and interests.

  • Experience with Python, R, and/or other programming languages for data transformation, analysis, and visualization
  • Knowledge of instructional design and pedagogical principles for teaching data topics
  • Knowledge of methods for evaluating user needs and assessing service/program effectiveness at meeting those needs
  • Experience working in an academic library

Salary and Benefits

The Libraries offers a highly competitive salary in recognition of applicable education and experience for this position. Minimum salary: $77,000 annually. Librarians have non-tenure track faculty status (without levels of rank). Benefits include:  24 days vacation, 12 days sick leave; State of NC preferred provider medical insurance, and state, TIAA/CREF, or other retirement options. Additional and optional dental, life, disability, deferred compensation, and legal plans are offered. Tuition waiver program for all campuses of The University of North Carolina is available. More benefits information is available at https://benefits.hr.ncsu.edu.

Application Process

Applications will be reviewed upon receipt; applications will be accepted until finalist candidates are selected. Candidates are encouraged to apply as soon as possible to receive full consideration. The Libraries will be flexible during this time and will conduct most or all of this search remotely. Appointment requires successful completion of background check. This position is available immediately; start date is negotiable. Applicants must apply through the NC State University online employment website at https://jobs.ncsu.edu/. Search in the keyword box by position number 00007948. Complete application, attach cover letter and résumé, and provide contact information for four current, professional references. For assistance with this process, please contact Libraries Human Resources at (919) 515-7188.

Affirmative Action/Equal Opportunity Employer. NC State welcomes all persons without regard to sexual orientation or genetic information. Persons with disabilities requiring accommodations in the application and interview process please call (919) 515-3148.

Last Updated

2/10/2025

Nomination Committee

  • Mara Blake - Nomination Committee Chair, Head, Data & Visualization Services
  • Shannon Ricci - Nomination Committee Chair, Associate Head, Data & Visualization Services
  • Jenny Coffman - Research Librarian for Engineering
  • Mike Kastellec - Associate Head of Information Technology
  • Tarida Anantachai - Director, Talent Management
  • Emily Griffith - Associate Professor of the Practice, Department of Statistics

Position number: 00007948