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Data Science Librarian - Baylor University - Waco, TX


The Baylor University Libraries seeks a collaborative, engagement-focused Data Science Librarian (DSL) to serve as a core member of the Data and Digital Scholarship (DDS) department of the Research & Engagement division. The DSL will assist in the division’s educational programs and support data-driven research and scholarship across the university. Working closely with DDS faculty and staff, the DSL supports the Libraries’ commitment to support data-related and digital scholarship research at every stage of the research lifecycle, with a focus on research data management, data visualization, and data analytics. Additionally, the DSL will serve as a liaison to one or more departments involved with data science initiatives. This is an academic professional position with faculty status and position rank of either Assistant Librarian or Associate Librarian.

The Baylor University Libraries support teaching, learning and research at Baylor University, and consist of the Moody and Jones Libraries; Armstrong Browning Library; Arts & Special Collections Research Center; Institute for Oral History; Keston Center for Religion, Politics, and Society; Library and Academic Technology Services; W. R. Poage Legislative Library; and Texas Collection with over 2.5 million volumes, significant holdings in e-journals, e-books, databases, and other digital content (

The Baylor University Libraries commit to increase diversity and recognize, value, respect, and empower all members of our community. We actively challenge and respond to bias, harassment, and discrimination. We commit to a policy of equal opportunity to resources, services, and spaces for all persons. The library is a place where differences are welcomed, people are nurtured, all perspectives are heard, and every individual feels a sense of belonging (

To learn more about the above position, the University Libraries, and Baylor University, please visit the appropriate URL;; or Applications should be received by March 24th, 2022 for full consideration.

Located in Waco, Texas, Baylor University is the oldest college in Texas. With a population of around 21,000 students, Baylor is one of the top universities in the nation, having just been named an R1 institution by the Carnegie Classification in 2022. Baylor is also on the honor roll of the "Great Colleges to Work For" from The Chronicle of Higher Education. Baylor offers competitive salaries and benefits while giving faculty and staff the chance to live in one of the fastest-growing parts of the state. Our strategic plan, Illuminate, guides the University as we continue to live up to Baylor's mission of educating men and women for worldwide leadership and service by integrating academic excellence and Christian commitment within a caring community.

Baylor University is a private not-for-profit university affiliated with the Baptist General Convention of Texas. As an Affirmative Action/Equal Opportunity employer, Baylor is committed to compliance with all applicable anti-discrimination laws, including those regarding age, race, color, sex, national origin, pregnancy status, military service, genetic information, and disability. As a religious educational institution, Baylor is lawfully permitted to consider an applicant’s religion as a selection criterion. Baylor encourages women, minorities, veterans, and individuals with disabilities to apply. EEO/M/F/Vets/Disabled



  • Provides data science and digital scholarship services to support the needs of the Baylor University research community.
  • Provides ongoing training to library subject liaisons to increase liaison capabilities to triage data-related support.
  • Assess the usefulness of existing and emerging data science tools and methods. Provides a leadership role in the library’s research data management program, and serves as the administrator to Baylor University’s instance of the Texas Data Repository, managed by the Texas Digital Library.
  • Serves as a liaison to one or more departments involved with data science initiatives on campus. In addition to acquiring relevant subject knowledge, the DSL is actively involved with assigned departments through outreach and engagement, research services, teaching and learning, collections, and scholarly communication.
  • Designs and implements pedagogically appropriate instruction in a variety of modes, methods, and materials and integrates data literacy concepts and skills into curricula, courses, assignments, and learning experiences.
  • Pursues professional development opportunities through local and national conferences, meetings, and workshops and involvement in professional organizations.
  • Engages in library-wide initiatives through committees and task forces.
  • Meets University and Library expectations for service and scholarship, including participation in the academic library community through research, presentations, and writing on topics related to areas of responsibility.



  • ALA-accredited master's degree in library/information science or equivalent combination of education and professional experience, such as an advanced degree in data science, computer science, GIS, statistics, or related field. New graduates encouraged to apply.
  • Academic background or knowledge to support proficiency in one or more of the following areas: research data management, data visualization, data analytics.
  • Enthusiasm for learning, integrating, and teaching new and emerging technologies.
  • Ability to work collaboratively with colleagues and a diverse clientele in a service-oriented, research-intensive environment.
  • Effective organizational, teaching, and presentation skills.
  • Ability to manage multiple simultaneous projects and competing priorities.
  • Ability to communicate and work effectively in an academic setting, with demonstrated skills in oral communication, written communication, and interpersonal interaction.


  • Familiarity with current and emerging trends in data-science in academic research as demonstrated through coursework or work experience.
  • Hands-on experience working with data in a research setting.
  • Track record in project development from inception to launch and continuous development.
  • Experience assessing student learning and library instruction.


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