Data Librarian

The Florida Institute of Technology seeks an energetic, service-oriented individual to join the Evans Library as a Data Librarian. This is a full-time faculty position reporting to the Head of Data Services. The Data Librarian will develop service and instruction to assist faculty and students in analyzing, managing and visualizing data resulting from research projects and varying disciplines.

Characteristic Duties and Responsibilities:

• Consults on grant requirements related to data management, data sharing, and publication. Participates on research teams providing data management consultation and research data services.
• Collects, organizes, analyzes, and creates visualizations of data related to publication and research impact.
• Engages the campus in broader conversations surrounding e-science and e-scholarship initiatives.
• Forges new collaborations and relationships that extend the Library’s capacity to support the university’s interdisciplinary initiatives and emerging technologies.
• Assists with the establishment of standards and best practices for managing, sharing and displaying data university wide.
• Tests new tools and visualization frameworks.
• Serves as liaison to science and engineering departments promoting library resources and services.
• Provides proactive research support to meet information needs of students and faculty.
• Serves on Library and university committees.
• Represents Florida Tech as needed at regional and national conferences and meetings.
• Keeps current with relevant research in of higher education library trends.

Requirements

Experience and Education:

Required Qualifications:

• ALA-accredited Master’s degree in Library and Information Science
• Subject expertise in a data-intensive discipline
• Knowledge of national and international trends in data management and curation
• Excellent oral and written communications skills

Desired Qualifications:

• Experience using tools for metadata manipulation and knowledge of metadata standards
• Experience using statistical software applications, such as Excel, R, JMP or SPSS
• Experience with data visualization software and tools
• Research laboratory experience