Health Sciences and Human Services Library University of Maryland, Baltimore
The Health Sciences and Human Services Library (HS/HSL) at University of Maryland, Baltimore (UMB) seeks an innovative, forward-thinking Data Services Librarian to develop robust research data-related services for UMB faculty, staff, and students. This dynamic librarian will guide and expand the Library's efforts in data management planning, discovery and access of research data, data sharing and publication, and data visualization. The Data Services Librarian will actively collaborate with faculty and staff within the HS/HSL and with partners throughout the University.
This new position is a member of the Services Division, home to information services, research and education services, and bioinformation services. This is a permanent status-eligible full-time, non-tenure track faculty position reporting to the Associate Director of Services. For more information about the HS/HSL, visit http://hshsl.umaryland.edu/ .
Develop research services related to the discovery, management, analysis, and visualization of research data.
Identify software and tools supporting the discovery, management, analysis, and visualization of research data.
Deliver expert one-on-one consultations to faculty, students, and staff supporting research data needs.
Develop and lead dynamic in-person and online instructional programming on data-related topics and tools.
Engage with University partners integrating research data services into administrative units and academic programs within UMB schools (dentistry, graduate school, medicine, nursing, pharmacy, social work).
Promote research collaboration and data sharing by developing a marketing strategy and conducting outreach activities to grow the UMB Data Catalog, a searchable collection of records describing datasets.
Participate actively in committees within the HS/HSL, the University, and professional organizations.
Pursue research and professional development activities.
Master of Library Science or equivalent advanced degree from an ALA-accredited program.
Background in working with qualitative and/or quantitative research data.
Experience with scientific programming (such as R, Python) and statistical software (such as SPSS and SAS).
Knowledge of data repositories and public data sets in the health sciences.
Excellent written and oral communication skills.
Demonstrated strong service orientation and skills.
Demonstrated ability to work independently and in a team environment.
Certification in data science or advanced training in data handling.
Experience in a health sciences environment.
Experience with data visualization tools such as Tableau or D3.js.
Experience providing instruction to a range of audiences, including faculty and students.
Familiarity with the HIPAA privacy rule and federal human subjects research guidelines.
Application materials must include a CV/resume; cover letter which includes the source of advertisement; 3 references including names, addresses, and phone numbers; and a separate signed/dated affidavit page (stating
Internal Number: 97861
About University of Maryland, Baltimore
The University of Maryland, Baltimore (UMB) is the State's public health, law and human services university devoted to excellence in professional and graduate education, research, patient care, and public service. As a diverse community of outstanding faculty, staff and students, and using state-of-the-art technological support, we educate leaders in health care delivery, biomedical science, global health, social work and the law. We emphasize interdisciplinary education and research in an atmosphere that explicitly values civility, diversity, collaboration, teamwork and accountability. By conducting internationally recognized research to cure disease and to improve the health, social functioning and just treatment of the people we serve, we foster economic development in the City, State, and nation. We are committed to ensuring that the knowledge we generate provides maximum benefit to society and directly enhances our various communities.