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Assistant Professor-Research and Data Services Librarian

University of New Mexico
On-site
United States

Assistant Professor-Research and Data Services Librarian

Posting Numberreq32314
Employment TypeFaculty
Faculty TypeTenure/Tenure-Track
Hiring DepartmentCULLS (107A)
Academic LocationCollege of University Libraries & Learning Sciences
CampusMain - Albuquerque, NM
Benefits EligibleThe University of New Mexico provides a comprehensive package of benefits including medical, dental, vision, and life insurance. In addition, UNM offers educational benefits through the tuition remission and dependent education programs. See the Benefits home page for more information.
Position Summary

The University of New Mexico College of University Libraries & Learning Sciences (CULLS) has an opening for a Research and Data Services Librarian. This position is a full-time, 12-month, tenure track position with a minimum hiring salary of $76,267 and generous benefits. This position has a starting rank of Assistant Professor, with salary negotiable based on experience and qualifications. This position reports to the Director of Learning, Research, and Engagement. Prioritizing a diverse, equitable, and inclusive organization, the College strongly encourages interested candidates who are members of minoritized or marginalized groups to inquire or apply. The desired start date is June 1, 2025.

As a member of the highly collaborative Learning, Research, and Engagement team, the Research and Data Services (RDS) Librarian will increase the impact of UNM research through the development and implementation of services supporting FAIR data sharing, data literacy, and ethical data practices. The RDS Librarian will collaborate with campus stakeholders including the Office of the Vice President for Research, the Center for Advanced Research Computing, and the UNM Health Sciences Library and Informatics Center. The RDS Librarian will promote leading practices in data management and open science through the development of sustainable educational and consultation programs, instruction, and data curation and preservation. This position also provides critical support for researchers in developing data management plans, organizing datasets, and facilitating compliance with funding mandates. 

The successful candidate will engage the broader campus community with empathy, curiosity, and a strong service orientation. Through frequent collaboration with colleagues in the College and across campus, the RDS Librarian will have the opportunity to grow and develop as a professional through participation in and support for initiatives such as UNM Grand Challenges, generative AI projects, and library data projects.

 

Primary Duties

  • Lead initiatives to support FAIR data management and sharing across disciplines.
  • Provide consultations and workshops on data management planning, ethical data practices, and research data curation.
  • Consult on the curation of datasets for publication in the UNM Digital Repository, Dryad, or other repositories as chosen by researchers.
  • Serve as a data curator in the Data Curation Network (datacurationnetwork.org) and participate in Data Curation Network governance through committee and other services.
  • Contribute to the College’s data science initiatives, including coordination of and participation in Software, Data, and Library Carpentry workshops.
  • Stay informed of evolving policies, technologies, and best practices in data management and open scholarship.
  • Build strategic partnerships within the university and beyond to foster interdisciplinary research and innovation.
  • Actively engage in professional development and contribute to governance within the University Libraries.
  • Engage in professional development through regional and national service.
  • Contribute to the College and the profession through research and scholarship.
  • Support the collaborative development and implementation of Graduate and Faculty Engagement programs, including reference consultations and library instruction.
Qualifications

Education and Experience

Minimum Qualifications:

  • Earned Master’s degree from an ALA-accredited Library/Information Science program or equivalent, or an earned PhD in a related field.

Preferred Qualifications:

  • Experience communicating with researchers and campus stakeholders about federal and other funder requirements regarding data management and sharing.
  • Experience with practices and tools for the management, curation, open sharing, and preservation of research data in an academic setting.
  • Experience consulting with researchers on the development of data management plans that address funder requirements.
  • Experience with specialized management and curation of data from the social sciences, humanities, STEM, or GIS fields.
  • Knowledge of leading practices in FAIR data sharing, including application of relevant metadata standards, and discovery and use of general purpose and specialized data repositories.
  • Knowledge of frameworks for ethical data practice, including principles of tribal data sovereignty.
  • Spoken or written proficiency in Spanish or an Indigenous language of the greater Southwest.
  • A demonstrated commitment to diversity, equity, inclusion, and student success, as well as working with broadly diverse communities.
Application Instructions

Only applications submitted through the official UNMJobs site will be accepted. If you are viewing this job advertisement on a 3rd party site, please visit UNMJobs to submit an application.

Please include a cover letter that addresses how you meet the minimum requirements and preferred qualifications, your CV and three professional references.

Applicants who are appointed to a UNM faculty position are required to provide an official certification of successful completion of all degree requirements prior to their initial employment with UNM.

For Best ConsiderationFor best consideration, please apply by 3/3/2025. This position will remain open until filled.

The University of New Mexico is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability, or any other protected class.