Research and Data Services Librarian -- University of New Mexico Job at Greater

Research and Data Services Librarian -- University of New Mexico

Post date: February 4, 2025

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.

For more position details or to apply, please click here.