DescriptionWeill Cornell Medical College Library seeks a dynamic, energetic, knowledgeable and self-motivated librarian to provide leadership to the library and its partners for data services and resource discovery through the application of metadata and intellectual access activities. Reports to
Associate Director, Resources Management. The data services/metadata librarian supports the creation, discovery of and access to the institution’s data and to the library’s digital and print content through consultation, metadata creation, analysis, enrichment, and maintenance according to local and national cataloging and metadata standards.
- Provide metadata consulting and project analysis services for faculty members and students in support of their teaching, research, and learning needs; prepare metadata profiles for implementation and/or conversion; and serve as a lead person for metadata related issues and problem solving.
- Provide expertise and leadership in developing numeric and geospatial data services and promoting these services to the institution.
- Develop and conduct outreach, workshops, and course-related instruction to support data analysis, metadata creation and data curation.
- Collaborate with health and life sciences librarians at Cornell University and Hunter College to further e-science initiatives.
- Assist in the development of a collection of resources and data sets appropriate to WCMC and the Clinical Translation Science Center.
- Advise on policies, standards and workflows for acquisition, description, access, and preservation of print and digital information. Perform original cataloging as required.
- Supervise .25 FTE copy-cataloger.
- Graduate degree in library/information science from an ALAaccredited institution or the completion of significant coursework towards the degree.
- Advanced degree in basic sciences and/or significant biomedical background preferred but not required.
- Experience with statistical software (SPSS, SAS, STATA), and with GIS software such as ArcGIS and ArcView preferred.
- Demonstrated expertise in the use of numeric data resources and an understanding of the application of numeric data in biomedical sciences.
- Knowledge and experience with metadata and cataloging standards and schema such as Dublin Core, METS, MODS, AACR2, RDA, MeSH, and NLM classification.
- Excellent technical, written and verbal communication skills and teaching/presentation skills.
- Able to work collaboratively in a team environment.
- Demonstrated initiative, the ability to manage multiple projects and a commitment to professional development.
Last updated: Tuesday, February 28, 2017 23:47 UTC