**REVISED**Computational Sciences Librarian
D-26-LIB-00003 | Library | Library

Princeton University Library (PUL) seeks a creative and dedicated librarian focused on research data, computational science, and providing consultation and instruction on AI literacies, including responsible use and implementation of AI and related technologies in research and scholarship. Reporting to the Head of Science and Engineering Teaching and Research Services, the Computational Sciences Librarian is part of the STEM team in the Data, Research, and Teaching Services division. The role supports students, faculty, and staff in Computer Science, Electrical and Computer Engineering, Princeton Language and Intelligence, the Princeton Center for Statistics and Machine Learning, and the greater STEM community.

This position works closely with librarians and information specialists, guiding computational methods, LLM use cases, and data-intensive research workflows. Liaison responsibilities may include shared or backup support in other areas of STEM or advanced 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 Statistics
- Strong research skills, especially for computer science and 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, 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.

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: https://www.princeton.edu/acad-positions/position/41082 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. This position is not eligible for H-1B sponsorship that requires consular processing.

Review begins: January 16, 2026

Princeton University Library is committed to recruiting a diverse workforce and advancing the University's commitment to equal opportunity and non-discrimination. To maximize excellence, we seek talent from all segments of American society and the world, and we take steps to ensure everyone at Princeton can thrive while they are here. To find out more about PUL's work towards greater inclusivity, equity, and diversity, please see PUL's "About" page.

Expected Salary Range: $90,000 - $105,000

The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly.

The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information.

Requisition No: D-26-LIB-00003

*Required information is denoted with an asterisk.

How to Apply

The form below must be completed to submit your application for this position.

It is recommended that you read through the entire application and gather the required application materials before beginning your application. You will not be
able to save or return to edit a partial application. Only complete applications will be accepted for consideration and the application form must be completed in its entirety before it can be submitted.

Upon submitting your application, you will receive a confirmation email at the email address that you provide in your application. In some cases, your references may be contacted using the email address that you provide for them and may be asked to provide their recommendation via a web-based form similar to the application form.

Be sure to provide the correct email addresses for you and all of your references to ensure that communications from Princeton University are properly delivered.

For more information send an email to ML5773@princeton.edu.