Librarian, Data Management

About the role

Weill Cornell Medicine-Qatar is hiring a Librarian, Data Management for its Health Sciences Library in Doha. The position covers research data management initiatives, guiding library users across the research lifecycle on data management practices, data curation, metadata standards and repository selection. It also involves library data statistical analysis and verifying data uploads and dissemination against cataloguing and archival standards. Work days are Sunday to Thursday.

Key responsibilities

• Guide and promote open data and interoperable data management practices among library users.
• Develop, assign and verify ontologies in metadata so users can discover and track current and historical research data.
• Support researchers with data visualization and data mining techniques.
• Carry out bibliometric, altmetric and citation analyses to inform methods that improve research impact.
• Ensure data uploaded to the institutional repository meets archival standards and FAIR data practices.
• Analyze library statistics such as taxonomy effectiveness and web traffic.
• Deliver training and outreach on emerging tools and best practices for managing, archiving and disseminating research data.
• Maintain, update and publish library guides, newsletters, tutorials and policies on data management, visualization, reproducible workflows, security and preservation.
• Take part in publication services, scholarship opportunities and awareness of Open Science, data ethics, privacy regulations and AI-assisted research workflows.

Required profile

• Master's degree in Library Science (ALA accredited), Information Science, Data Science or a relevant quantitative field.
• 3 to 5 years' experience in an academic library and/or clinical research environment supporting the research lifecycle.
• Ability to multi-task, deliver customer-focused service, work independently and in a team, and pay close attention to detail.

Required skills

• Integrated library systems, open access web tools and library technologies.
• Clinical research trends and biomedical research data management.
• Open access requirements and metadata standards: Dublin Core, DataCite Schema, Data Documentation Initiative (DDI).
• Data management and analytics tools: DMPTool, GitHub, Jupyter Notebooks, Power BI, R/Python.
• Microsoft Office suite (Word, Excel, PowerPoint, Outlook).