Data Services Librarian

🇺🇸 Athens, Ohio 🕑 Full-Time 💰 $52K - $59K 💻 Other 🗓️ October 22nd, 2026

SQL Python

Edtech.com's Summary

Ohio University is hiring a Data Services Librarian in the Libraries' Research Services department to help students and faculty discover, use and manage data for their research. Reporting to the Head of Research Services, the librarian provides leadership in research data management, data literacy and open research practices, and coordinates research data services with academic departments and research centers across campus. The role also includes subject-area instruction, consultation and collection development.

Highlights

Partner with student and faculty researchers to develop compliant data management and sharing plans that align with funder requirements, institutional policies and research data best practices.
Provide instruction, workshops, outreach and individualized research support for faculty, researchers and graduate students, plus data literacy support for undergraduates.
Work with campus partners to deliver consulting on data management, data use and reuse, reproducible research practices, and computational tools and methods.
Build relationships with academic departments and research centers to coordinate and scale research data services across campus.
Monitor emerging trends in research data services and evaluate new tools, technologies and methodologies to improve library services.
Provide subject-specific instruction, reference and consultation for assigned academic programs, and help build sustainable collections that support research and teaching.
Serve on Libraries and university committees and take part in professional development, publications and presentations.
Requires an ALA-accredited master's degree (or an equivalent from another national or international body) and one or more years of related professional experience; preferred experience includes delivering instruction or technical training, managing or curating research data, and using tools such as SPSS, Python, R, SQL or Stata.