Data Sciences Librarian

Description: Princeton University Library (PUL) seeks a creative and dedicated subject librarian focused on research data, computation, and computer sciences. Reporting to the Head of Science and Engineering Teaching and Research Services, the Data Sciences Librarian is part of the STEM team in the Data, Research, and Teaching Services (DaRTS) division. The role supports students, faculty, and staff in Computer Science, Electrical and Computer Engineering, Princeton Language and Intelligence, and the Princeton Center for Statistics and Machine Learning, and the greater STEM community. This position works closely with librarians and information specialists at the Science and Engineering libraries and DaRTS more broadly. Liaison responsibilities may include shared or backup responsibility in other fields of STEM or data services. Core responsibilities include collection development, instruction, outreach, reference, and scholarly communications in computer science and electrical and computer engineering. This position assists patrons at all levels from first-year undergraduates through faculty members and research staff. This position collaborates with units across PUL, and represents PUL in professional contexts. PUL is one of the world's leading research libraries, with over 300 staff and several specialized branches, supporting a diverse community of 5,500 undergraduates, 3,100 graduate students, 1,200 faculty members, and many visiting scholars. Further information: http://library.princeton.edu Required Qualifications: -Masters in Library Science or equivalent educational background in fields such as Computer Science, Mathematics, Engineering, or Data Science -Strong research skills, especially for computer science, data science, and /or engineering research in a variety of library databases and library-related software platforms -Excellent interpersonal skills, project and time management skills, and the ability to work collaboratively and collegially with a diverse group of scholars and colleagues -Experience with instruction and research consultations -Comfort with rapidly changing expectations and guidelines for library services -Familiarity with machine learning and AI applications -At least 3 years of experience is required Preferred Qualifications: -Expertise with science and engineering librarianship, and expectations for research support -Experience with collection development The work location for this position is in-person on campus at Princeton University. This position will be available starting July 1, 2025. The successful candidate will be appointed to an appropriate Librarian rank depending upon qualifications and experience. Applications will be accepted only from the AHIRE system through the office of the Dean of the Faculty website. Applications must be submitted at https://puwebp.princeton.edu/AcadHire/position/37281 and must include a resume, cover letter, and a list of three references with full contact information. This position is subject to the University's background check policy. Application review begins: January 15, 2025 PUL is committed to recruiting a diverse workforce and advancing the University's commitment to racial equity within our community and in the world. We encourage candidates from all diverse backgrounds and life experiences to apply for our positions. To find out more about PUL's work towards greater inclusivity, equity, and diversity, please see PUL's "About" page. Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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Princeton University is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.