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Emerging Research Tools and Intelligence Librarian

Job in College Station, Brazos County, Texas, 77840, USA
Listing for: PVH (Tommy Hilfiger/Calvin Klein)
Full Time position
Listed on 2026-07-21
Job specializations:
  • Research/Development
    Information & Knowledge Management, Data Scientist, AI Business & Operations
  • IT/Tech
    Information & Knowledge Management, Data Scientist, AI Business & Operations, Data Analyst
Salary/Wage Range or Industry Benchmark: 70000 - 95000 USD Yearly USD 70000.00 95000.00 YEAR
Job Description & How to Apply Below

Emerging Research Tools and Intelligence Librarian

Agency: Texas A&M University

Department: Libraries

Job Location: College Station, Texas

Job Type: Staff

Texas A&M University is hiring a new Emerging Research Tools and Intelligence Librarian to play a pivotal role in shaping the future of research support at the university. In this dynamic position, you will lead efforts to integrate cutting‑edge technologies, data insights, and institutional knowledge to advance research excellence. You will work at the intersection of analytics, AI‑driven tools, scholarly profiles, and campus partnerships, designing innovative, data‑informed services that empower faculty and researchers.

Core responsibilities include:

  • Guide the use of AI and analytics tools to examine research profiles, project metadata, and impact metrics.
  • Identify gaps, emerging research directions, and strategic growth areas.
  • Align internal strengths with funding opportunities, awards, and collaborations.
  • Create visualizations, dashboards, and narratives showcasing research impacts.
  • Design and pilot research support services based on trends and research needs.
  • Lead the assessment, adoption, and integration of emerging tools (e.g., generative AI, visualization platforms).
  • Partner with librarians and other units to embed tools into existing services.
  • Deliver one‑on‑one consultations on AI tools, impact narratives, or research planning.
  • Create and deliver workshops on emerging tools and research analytics.
  • Support researcher onboarding, mentorship matching, or award nominations.
  • Develop research support content for the library webpage and documentation.
  • Contribute to library planning, committees, and task forces.
  • Participate in campus, regional, and national professional organizations.
  • Attend conferences and monitor developments and best practices to enhance research support.

Qualifications:

  • Master's degree in Library Science, Computer Science, Data Science, Information Science, Research Analytics, or an equivalent combination of education and experience.
  • Knowledge of academic library functions.
  • Knowledge or familiarity with AI‑enhanced tools or emerging technologies such as generative AI, NLP tools, and research discovery platforms.
  • Deep understanding of the research lifecycle and scholarly communication.
  • Demonstrated history of customer service.
  • Excellent interpersonal and communication skills with the ability to communicate complex information clearly to varied audiences.
  • Strong background in information management.
  • Familiarity with research analytics platforms (e.g., InCites, Sci Val, Altmetric Explorer, Dimensions) and scholarly profile systems.
  • Understanding of bibliometrics and altmetrics for assessing research impact.
  • Experience with emerging research tools and funding analysis, including matching researchers with grants or industry partners.
  • Knowledge of researcher development programs or national faculty award nomination processes.
  • Some coding or software development expertise.
  • Ability to think strategically and innovatively to develop new services aligned with institutional priorities.
  • Ability to navigate ambiguity and adapt to rapidly evolving technologies and research trends.

The selected candidate will work on campus in an in‑person capacity at the College Station location.

Compensation will be commensurate based on the candidate's education and experience. Salary amounts will be discussed during the initial interview.

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