Computational Sciences Librarian

Code4lib; Princeton (NJ); On-site; USD 90,000 - 105,000; Full time

Benefits offered by this job

Comprehensive benefits program

Job summary

A prestigious university library in Princeton seeks a dedicated Computational Sciences Librarian to support research data, computational science, and AI literacy for the STEM community. The ideal candidate will hold a Master's degree in Library Science or a related field and have relevant experience in instruction and consultation. Responsibilities include managing a resource collection, providing training on computational methods, and collaborating with faculty and staff. A competitive salary range of $90,000 – $105,000 is offered, along with comprehensive benefits.

Qualifications

• Master’s degree in Library Science or an equivalent background in Computer Science, Mathematics, Engineering, or Statistics.
• Minimum 3 years of relevant experience.
• Experience with instruction and research consultations.

Responsibilities

• Develop and manage a collection of resources in computer science and electrical engineering.
• Provide instruction and training on computational methods and data-intensive research.
• Consult with patrons on research data management and scholarly communications workflows.

Skills

Strong research skills in computer science and engineering

Excellent interpersonal skills

Project and time-management skills

Familiarity with machine learning and AI applications

Education

Master’s degree in Library Science or equivalent

Tools

Library databases and related software platforms

Job description

Overview

Princeton University Library (PUL) seeks a creative and dedicated Computational Sciences Librarian focused on research data, computational science, and AI literacy. The librarian reports to the Head of Science and Engineering Teaching and Research Services and works within the Data, Research, and Teaching Services division to support faculty, students, and staff across Computer Science, Electrical and Computer Engineering, the Princeton Center for Statistics and Machine Learning, and the broader STEM community.

Responsibilities

• Develop and manage a collection of resources in computer science and electrical and computer engineering, including emerging AI and machine learning literature.
• Provide instruction, outreach, and training on computational methods, large language model use cases, and data‑intensive research workflows.
• Consult with patrons on research data management, responsible AI use, and scholarly communications workflows.
• Collaborate with librarians, information specialists, and PUL units to represent the library in professional contexts.
• Support liaison duties in other STEM or advanced data services as needed.

Required Qualifications

• Master’s degree in Library Science or an equivalent background in Computer Science, Mathematics, Engineering, or Statistics.
• Strong research skills in computer science and engineering, including proficiency with library databases and related software platforms.
• Excellent interpersonal, project, and time‑management skills with a collaborative and collegial approach.
• Experience with instruction, research consultations, and rapidly changing library service guidelines.
• Familiarity with machine learning and AI applications.
• Minimum 3 years of relevant experience.

Preferred Qualifications

• Expertise in science and engineering librarianship with a focus on research support.
• Experience with collection development in technical and computing fields.

How to Apply

Applications are accepted through the Dean of the Faculty application system: https://dof.princeton.edu/apply. Submit a resume, cover letter, and a list of three references with full contact information. The position is subject to Princeton University’s background check policy.

Salary and Benefits

Salary Range: $90,000 – $105,000. Princeton University offers a comprehensive benefits program for eligible employees.

Equal Opportunity Statement

Princeton University is an Equal Opportunity/Affirmative Action Employer. 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.

Metadata

Published: Friday, December 19, 2025 22:53 UTC