Research Data Management Librarian

Description

The University of Virginia Library is seeking a Research Data Management Librarian in the Research Data Services & Social, Natural, and Engineering Sciences team. This position is responsible for providing support to researchers at all levels and across all disciplines engaged in data-intensive research by providing data management support. The incumbent will provide consultation and support for data management, metadata production, data organization and preservation issues to researchers in partnership with library colleagues. The incumbent will support researchers in the development and implementation of data management plans, and will offer guidance on technical data management issues, including acquisition, transfer, and storage of data. The incumbent will also contribute to and advise on the University Library’s efforts to broadly serve the needs of researchers to manage, document, share, and preserve the products of their research, complying with sponsor mandates and changing norms for making data assets available and improving research reproducibility. This is a hybrid position, with 50% of time per week expected in office.

Requirements

Required Qualifications:  

• Master’s degree in library/Information Science or other relevant academic discipline, OR a Bachelor’s degree and at least 4 years of related experience with data management, data repositories, data curation, and research.
• Knowledge of foundational research data management principles and best practices, with a particular focus on the research data lifecycle.
• Knowledge of emerging trends in research data.
• Knowledge of open and reproducible research practices.
• Excellent communication skills, with the ability to reach out to and engage target audiences, effectively communicate in all formats, and adapt communication style to suit different audiences.
• Proficiency in public speaking and providing instruction, both formal and informal, to varying audiences and skill levels. 

Preferred Qualifications: 

• Experience providing full data life cycle support (management, storage and archiving, curation).
• Proficiency with a computational environment (e.g., Python, R, C).
• Experience with version control (e.g., Git and GitHub).
• Experience delivering research support in an academic environment.
• Experience creating a variety of online materials, including video, blog posts, and LibGuides.