Spectrum & Diversity Scholars Community

Data Services Librarian, The University of Alabama (Apply by June 5, 2017)

  • 1.  Data Services Librarian, The University of Alabama (Apply by June 5, 2017)

    Posted May 09, 2017 10:24 AM

    Data Services Librarian


    The University of Alabama


    Position open until filled. Applications received by June 5, 2017 are assured of receiving full consideration. 


    APPLY:  https://facultyjobs.ua.edu


     The University of Alabama, The Capstone University, is the State of Alabama’s flagship public university and the senior comprehensive doctoral-level institution in Alabama. UA enrolls over 37,000 students and is ranked in the top 50 public universities in the United States. UA holds the designation of a Top Fulbright Producing institution with 163 Fulbright Scholars as well as a top institution for Goldwater Scholars over the past ten years. In addition, UA has produced 15 Rhodes Scholars, 15 Truman Scholars, and is one of the leading institutions for National Merit Scholars (150 in 2015). Seven Pulitzer Prize winners are among the faculty ranks. Under the leadership of President Stuart Bell, UA launched a strategic planning process that includes an aggressive research agenda and an expansion of graduate education. UA is located in Tuscaloosa, a community of 95,000 residents in a metropolitan area of over 235,000. Tuscaloosa affords its residents with a vibrant economy, a moderate climate, and a reputation across the South as an innovative, progressive community with an excellent quality of life. Tuscaloosa provides easy access to mountains, several large cities, and the beautiful Gulf Coast.


    POSITION DESCRIPTION:


    The University of Alabama seeks a proactive, team-oriented, and innovative person to serve as the Data Services Librarian. Reporting to the Head of Assessment & Government Information, the Data Services Librarian will develop a robust suite of data services, including components of instructional support, that serve to bolster student and faculty research through the discovery, management, analysis, and visualization of data. The ideal candidate possesses strong research and analytical skills, as well as the desire to teach. The successful candidate will actively collaborate with liaison librarians to promote and integrate data services and data literacy into library instruction across the disciplines. 


     


    REQUIRED QUALIFICATIONS:



    • Master's degree in Library & Information Sciences from an ALA-accredited institution or Ph.D.in the natural or social sciences.

    • Ability to conduct outreach to academic departments.

    • Experience with conducting data-driven academic research.

    •  Experience with data management and/or visualization applications (e.g., R, SAS, SPSS, Matlab, Tableau, and ArcGIS)

    • Ability to successfully initiate, track, and manage projects.

    • Demonstration of ability, interest, and willingness to assume additional and/or new responsibilities, along with the ability to set and model high-performance standards.

    • Ability to conceptualize, articulate, and implement short and long-range goals.

    • Ability to work independently and as a team member to solve problems, using sound judgment in decision-making according to an established timeframe.

    •  Excellent communications skills, both verbal and written, along with skills associated with listening, negotiating, compromising, and adapting.

    •  Proven interpersonal skills evidenced by the ability to work cooperatively and maintain effective working relationships with colleagues, faculty, students, and staff.

    • Ability to support and enhance a diverse learning and working environment.

    • Ability to meet the requirements for tenure and promotion

    • Commitment to conduct research and scholarship consistent with a tenure track faculty appointment; commitment to engage in continuing professional development.


    PREFERRED QUALIFICATIONS:


     



    •  Proven experience delivering services in the academic library environment.

    • Advanced degree in applied statistics, or a PhD in the natural sciences or social sciences.

    • Experience with scripting languages (e.g., Perl, Tcl, and Python).

    • Experience with data mining.


     


    APPLY:  https://facultyjobs.ua.edu