Data Services Librarian
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 https://www.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 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 “I verify that my CV is current and accurate” - does not need to be notarized). Applications will be accepted until the position is filled, but full consideration will be given to complete applications received by January 31, 2019. Interested applicants should apply using the following link: http://bit.ly/DataLibrarian.
MINIMUM SALARY: $55,000, commensurate with experience
Generous benefits include choice of retirement, medical, and dental plans; 22 days of annual leave; 15 days of sick leave; 3 personal days and 14 holidays. Regular employees, as well as their spouses and dependent children, may receive tuition remission for most programs at many campuses of the University System of Maryland.
The University of Maryland, Baltimore (UMB) campus is located in downtown Baltimore, blocks from Orioles Park at Camden Yards, Raven's Stadium, and the Inner Harbor, a recreational waterfront destination. Forty-five miles north of Washington DC, Baltimore City and the surrounding metropolitan area are noted for high quality-of-life indicators offering historic parks, great neighborhoods, and world-famous art collections, museums, theaters, and symphony orchestras. The city has easy access to public transportation systems, superior health care systems, and renowned university and educational resources.
The HS/HSL is one of the largest health sciences libraries in the United States with a track-record of user-centered innovative services and programs. Fifty-five FTE employees including 25 faculty librarians staff the library. Our attractive and vibrant facility, which opened in 1998, serves as a hub for collaboration and learning with resources, programs, and tools that promote discovery, creativity, and innovation. The HS/HSL has 45 group study rooms, three computer classrooms, an Innovation Space, a presentation and production studio, an art gallery, and multiple technology-enhanced meeting spaces. Through the HS/HSL’s website (www.hshsl.umaryland.edu), the UMB community has access to a full range of resources and services. The HS/HSL serves the schools of Dentistry, Medicine, Nursing, Pharmacy, Social Work, and the Graduate School. The HS/HSL also serves as the headquarters for the National Network of Libraries of Medicine’s Southeastern/Atlantic Region.
The Library supports the 6,500 students, and over 7,300 faculty and staff members on UMB's 71-acre research and technology complex consisting of 67 buildings including the University of Maryland BioPark. UMB's professional and graduate schools comprise a dental school, graduate school, and schools of law, medicine, nursing, pharmacy, and social work. More details about the UMB can be found at http://www.umaryland.edu/.
UMB is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law or policy.
How to apply
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Published: Wednesday, January 16, 2019 13:48 UTC
Last updated: Wednesday, January 16, 2019 13:48 UTC