Lecturer

Visiting Lecturer Data Scientist - CULLSPosting Number - req36654Employment Type - FacultyFaculty Type - LecturerHiring Department - CULLS (107A)Academic Location - College of University Libraries & Learning SciencesCampus - Main - Albuquerque, NMBenefits Eligible - The 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 (ULLS) has an opening for a Visiting Lecturer Data Scientist. This position is a full-time, 12-month faculty appointment that can be renewed annually for up to a maximum of three years. This position has a rank of Visiting Lecturer, with a minimum salary of $70,000, negotiable based on experience and qualifications. This position reports to the University Libraries' 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. Early career candidates are encouraged to apply. The desired start date is September 1, 2026. As a member of the Learning, Research, and Engagement (LRE) unit's highly collaborative Graduate and Faculty Engagement team, the Visiting Lecturer Data Scientist provides coordinated, full-lifecycle research data support to student, staff, and faculty researchers across all main-campus disciplines at UNM. These support services include consultation and instruction in leading practices in data acquisition, processing, analysis, visualization, and documentation. This position also provides critical support for researchers in data management planning and facilitating compliance with funding mandates. The Visiting Lecturer will develop and maintain productive relationships within the College, across the University, and within the global research data community and 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 Visiting Lecturer will receive training to become a badged Carpentries instructor through the College's Carpentries membership and will promote open science through the development of sustainable educational programs, including coordination and delivery of Software, Data, and Library Carpentry workshops.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 Visiting Lecturer will have the opportunity to grow and develop as a data science professional through participation in a diverse community of researchers within the University and throughout New Mexico. Candidates do not need to meet every preferred qualification listed; individuals that meet the minimum qualification and have a strong interest in developing further in data science are encouraged to apply.Primary DutiesLead initiatives to support transparent, rigorous research practices across disciplines at UNMProvide consultations and workshops on lifecycle data management, analysis, visualization, and ethical data practices.Contribute to ULLS' 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.Participate as an active member of the LRE Graduate and Faculty EngagementSupport the collaborative development and implementation of Graduate and Faculty Engagement programs, including reference consultations and library instruction.The Environment:Founded in 1889, the University of New Mexico sits on the traditional homelands of the Pueblo of Sandia. The original peoples of New Mexico – Pueblo, Navajo, and Apache – since time immemorial, have deep connections to the land and have made significant contributions to the broader community statewide. We honor the land itself and those who remain stewards of this land throughout the generations and acknowledge our committed relationship to Indigenous peoples. We gratefully recognize our history.An R1 Research Institution, a Hispanic-serving institution, and the flagship university in a majority-minority state, UNM enrolls nearly 24,000 students and offers 215 degree and certificate programs, including 94 baccalaureates, 71 masters, and 37 doctoral degrees through 14 Colleges and Schools. UNM's campus occupies nearly 800 acres near old Route 66 in the heart of Albuquerque, a metropolitan area of more than 900,000 people. From the magnificent mesas to the west, past the banks of the historic Rio Grande, to the Sandia Mountains to the east, Albuquerque is a blend of culture, cuisine, styles, stories, people, pursuits, and panoramas.UNM's University Libraries (UL) is housed within the College of University Libraries & Learning Sciences, along with the academic Organization, Information and Learning Sciences Program and the UNM Press. The UL is a member of the Association of Research Libraries, the Greater Western Library Alliance, the New Mexico Consortium of Academic Libraries, Seminar on the Acquisition of Latin American Library Materials, as well as the Data Curation Network and The Carpentries.The UL includes the Centennial Science and Engineering Library, the Fine Arts & Design Library, and Zimmerman Library. Zimmerman Library also houses the Center for Southwest Research and Special Collections, the Indigenous Nations Library Program, the Adobe Creative Commons, and is a Regional Federal Depository Library. Our collections include over three million volumes, UNM's digital repository, LoboGit, and several online digital archival collections.The UL's mission is to support our communities by providing expertise, instruction, services, spaces, and collections that advance scholarship, teaching, and intellectual discovery.To learn more about our city and our University, visit and - Minimum Qualifications:Earned Master's degree from an ALA-accredited Library/Information Science program or equivalent, or an earned PhD in a field engaged with data science.Preferred Qualifications:Experience supporting researchers and campus stakeholders in leading practices in lifecycle data management, including planning, data collection, quality assurance, analysis, visualization, and scientific communication.Experience with teaching or workshop instruction.Experience supporting researchers with the development of data management plans that address funder requirements.Proficiency with Python, R, Git, or other open source languages and platforms.Knowledge of leading practices in FAIR data sharing.Knowledge of frameworks for ethical data practice (i.e., CARE), including principles of tribal data sovereignty.Knowledge of general purpose and specialized data repositories.Demonstrates flexibility across interdisciplinary data and analysis types.Experience working collaboratively.Spoken or written proficiency in Spanish or an Indigenous language of the greater Southwest.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 ensure that both your cover letter and resume are attached to your packet to be considered. 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 Consideration - For best consideration, please apply by 6/10/2026. 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.