Data Services Librarian

Created: July 24, 2018

Description

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/.  

 

RESPONSIBILITIES:

  • 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.

 

Qualifications

POSITION REQUIREMENTS:

  • 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.

  

PREFERRED:

  • 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.

 

APPLICATIONS:

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 August 24, 2018.

 

MINIMUM SALARY: $55,000, commensurate with experience

 

BENEFITS:

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 is an Equal Opportunity, Affirmative Action employer.  Minorities, women, individuals with disabilities and protected veterans are encouraged to apply.

Metadata

Published: Thursday, July 26, 2018 04:29 UTC


Last updated: Thursday, July 26, 2018 04:29 UTC