Librarian, Data Management

Position summary

Research data and analytics

• Promote Open Data and interoperable data management practices to improve transparency, research quality, and data reusability.
• Develop, assign, and verify metadata ontologies that enable discovery and tracking of current and historical research data.
• Support researchers with data visualization and data mining techniques.
• Conduct bibliometric analysis, altmetrics, and citation metrics and provide insights to improve research impact.
• Ensure institutional repository uploads follow archival standards, long-term preservation practices, and FAIR data principles.
• Collate and analyze library statistics, including taxonomy effectiveness and library web traffic.

Training and library services

• Design and deliver training and outreach on tools and practices for managing, archiving, and disseminating research data and outputs.
• Maintain and publish library guides, newsletters, tutorials, and policies on data management, cleanup, visualization, reproducible workflows, security, and preservation.
• Assess library collection relevance and participate in the library’s publication services.
• Promote emerging trends in research data management, Open Science, data sharing, data ethics and privacy, AI-assisted research workflows, and health librarianship.
• Collaborate with library teams in support of the library’s mission, vision, and strategic goals; perform other duties as assigned.

Education and experience

• Master’s degree in Library Science (ALA-accredited), Information Science, Data Science, or a relevant quantitative field.
• 3–5 years’ experience in an academic library and/or clinical research environment providing research-lifecycle support.

Knowledge and skills

• Expert knowledge of Integrated Library Systems, open-access web tools, and library technologies.
• Expert knowledge of clinical research trends and biomedical research data management.
• Knowledge of Open Access requirements and metadata standards, including Dublin Core, DataCite Schema, and DDI.
• Experience with DMPTool, GitHub, Jupyter Notebooks, Power BI, and R/Python for research data management and reporting.
• Ability to manage multiple projects, provide customer-focused service, and demonstrate organization, attention to detail, and strong communication.
• Ability to work independently and collaboratively; proficiency in Microsoft Word, Excel, PowerPoint, and Outlook.