Data Services Librarian

The Ohio University Libraries invites applications and nominations for the position of Data Services Librarian in the Research Services department.

Reporting to the Head of Research Services, the Data Services Librarian supports Ohio University students and faculty in discovering, using, and managing data for their research. The Data Services Librarian provides leadership and expertise in research data management (RDM), data literacy concepts, and open research practices in support of Ohio University's research mission.

Specifically, the Data Services Librarian will:

• Partner with student and faculty researchers to develop compliant data management and data sharing plans aligned with funder requirements, institutional policies, and research data best practices.
• Provide instruction, workshops, outreach, and individualized research support for faculty, researchers, and graduate students, as well as data literacy and other fundamental support for undergraduates.
• Collaborate with campus partners to deliver consulting services related to data management, data use and reuse, reproducible research practices, and computational tools and methods.
• Monitor emerging trends in research data services and evaluates new tools, technologies, and methodologies to enhance library services.
• Participate in subject support for academic programs through instruction, consultation, and collection development.
• Serve on Libraries or University committees, task forces, and/or other groups in support of advancing the Libraries' strategic goals.
• Commit to continuous improvement and professional development.

Minimum Qualifications

Requires a Master's degree accredited by the American Library Association or equivalent national or international body and 1 or more years of related professional experience, or equivalent education and experience.

Preferred Qualifications

• Experience developing and delivering instruction or technical training.
• Experience in an academic or research library.
• Experience managing, curating, or preserving research data.
• Ability to clearly explain complex concepts to audiences from diverse disciplinary, technical, and cultural backgrounds.
• Knowledge of the research data lifecycle.
• Experience using at least two of the following: SPSS, Excel, Python, R, Open Refine, SAS, JMP, Stata, MATLAB, and/or SQL.