Research Data Librarian.

About the role

This position works as part of the Dartmouth Libraries Research Facilitation team to develop and deliver a robust suite of services supporting data-intensive advanced research and curricular needs at Dartmouth. The person in this position will coordinate, develop, and provide deep research support, curricular and co-curricular educational modules, and data-related collections services to faculty, students, and staff. They will hold primary liaison responsibility for the economics department, collaborate closely with the business liaisons, and will work with other data-intensive subject areas, programs, and centers. They will develop, deliver, and assess effective programs and services, and assist in the development and implementation of research data services across Dartmouth. This position is hybrid work location eligible.

Responsibilities

• In partnership with the Head of Research Facilitation and related liaison teams, assists in the development of a comprehensive platform and suite of research data services to support and advance interdisciplinary digital scholarship at Dartmouth. Provides information, research consulting, and data services, especially for economics and business resources, in a dynamic and collaborative academic library environment. Coordinates with partners across campus and library departments to facilitate extended and contextualized research data services and specialized resources. Ensures that indigenous, culturally, or personally identifiable sensitive data adheres to relevant protocols and informed best practices. (40%)
• Acts as a functional library liaison to economics, and possibly other data-intensive subject areas, programs, and centers. In partnership with colleagues: provides reference, collections, and teaching support; develops, maintains, and assesses data, print, and digital resources and collections in selected areas; regularly reviews departmental academic programs, research priorities, and information needs to refine library services and resources; communicates regularly and effectively with core constituencies. (30%)
• Develops and implements instruction resources to help faculty, students, and staff expand research skills, including data discovery, curation, management, analysis, visualization, and preservation. Collaborates with colleagues in the Libraries and in Information, Technology & Consulting (ITC) to teach in curricular and co-curricular settings. Consults with students on class assignments or projects using relevant data tools and programs. (20%)
• Monitors trends and best practices in library and industry-based research data efforts, with an emphasis on statistical data, open data/software and ethical data use. Recommends and facilitates improvements to existing programs and services, and participates in internal training and professional development for Dartmouth Libraries and related staff (including committee service, publication, and professional activities). (10%)
• Demonstrates professionalism and collegiality through actions, interactions, and communications with others appropriate to an environment that is welcoming to all. Performs other duties as assigned.

Requirements

• ALA-accredited master's degree in library and/or information science, or an advanced subject or professional degree; and 2+ years of relevant postgraduate experience (or equivalent combination of education and experience).
• Experience preparing data for analysis, visualization, and other procedures.
• Proficiency with one or more data analysis or visualization tools (for example Stata, SPSS, R, Python).
• Knowledge of and proficiency with key information resources in economics, business, and/or finance.
• Excellent interpersonal and communication skills, and the ability to work flexibly and effectively in groups.
• Strong organizational skills; ability to prioritize tasks, manage time, and complete projects.
• Demonstrated skill and enthusiasm for outreach and engagement.

Preferred qualifications

• Academic background in a data-intensive social sciences discipline.
• Knowledge of statistical concepts and approaches in social science disciplines.
• Experience and proficiency with effective teaching methods and practices.
• 2+ years experience in data science work.

Pay

Hiring range: $67,400 – $84,200 annually.

Schedule

Regular full-time, 12 months per year, 40 hours per week. FLSA exempt.

Location

Hanover, NH. Hybrid work eligible.

Position number: 0019302. Posted 10/19/2026; open until filled. Union: DCLWU (not an SEIU position). For recruitment inquiries contact Lora Leligdon, Head of Research Facilitation, at 603-646-3845.