Boston College Libraries are seeking a Data Services Librarian to join our Digital Scholarship Group (DSG). The ideal candidate for this position will have advanced data skills that can be applied across disciplines and, equally so, will be an effective communicator who can work with a range of collaborators inside and outside of the Libraries.
The Data Services Librarian is primarily responsible for collaborations and services related to data gathering, manipulation, management, curation, documentation, and data skills training. Such activities include consulting on faculty and student data-driven projects; providing data skills training on data manipulation and management methods, best practices, and tools to faculty and staff; providing data skills instruction for undergraduate and graduate courses, and driving library-based curricula development (i.e., library instruction and modules) and resource creation/collection for data-centric and data science programs.
As a member of the DSG, the Data Services Librarian collaborates on designing and driving new initiatives and services and is a valued voice in DSG strategic planning as the group strives to expand its role in BC Libraries and the broader BC community. The collaborative nature of this position extends to working with staff across the Libraries, in particular, the Economics Librarian, the Business Librarian, and other subject liaison librarians, and outside campus units, including Research Services and the Schiller Institute for Integrated Science and Society. They will also work with the University’s emerging cross-disciplinary Data Science minor.
Apply on BC’s employment site. Please email melanie.hubbard@bc.edu if you have any questions.
Required
- A Master’s degree in Library Science or Information Science or a closely related, data-intensive research field, plus 2-3 years of relevant experience
- Demonstrated experience in
- Providing data curation, management, cleaning, and mining services;
- Using data and related technologies to support teaching or research;
- Working with numeric data in an academic, scientific, or corporate environments;
- The ability to engage with research across a variety of disciplines and a range of audiences, from undergraduate and graduate students to faculty, instructors, and staff;
- Excellent written and oral communication skills
Preferred
- Experience working in academic libraries;
- Knowledge of data preservation strategies;
- Demonstrated experience in
- Working with data repository platforms (e.g., Dataverse);
- Proving data skills training and classroom instruction (oral, written, and video tutorials, etc.);
- Data/text mining and analysis using coding languages such as Python or R;
- Data visualization;
- Using statistical tools (e.g., SPSS, SAS, Stata)