Data Science & AI Librarian, Stanford Law School Job at Stanford University in S

Data Science & AI Librarian, Stanford Law School The Data Science & AI Librarian empowers faculty and students with consultation and training in Python, NLP / LLM workflows, data acquisition and curation, and reproducible research. This role advances rigorous, bias-aware analysis and preserves high-value datasets and code for long-term discovery and reuse.

JOB PURPOSE

The Data Science & AI Librarian is a key architect of the law school’s digital research future. This position applies technical expertise in programming and data science to solve complex legal information challenges, build innovative tools, and empower faculty and students to leverage computational methods.

CORE DUTIES :

Formulates and implements library-wide policies or best practices for data science and AI services.

Serves as the library’s principal expert on emerging AI technologies, advising on their adoption and leading pilot projects.

Establish reproducible research practices and deposit datasets / code in campus repositories with rich documentation.

Advise on research ethics / IRB and sensitive-data handling for AI / ML projects.

Support the Reference & Instruction team by serving as the escalation path for complex data / AI queries.

Coordinates with and mentors other library staff in data and AI competencies.

Support LLM / NLP workflows for legal text analytics.

Design and teach technical skills workshops.

Lead on data ethics, bias, and evaluation policy for AI in research contexts.

Assist with data acquisition, cleaning / transforming, and analysis.

Liaise with campus data science institutes, HPC, and central library data services.

MINIMUM REQUIREMENTS :

Master’s degree in Library / Information Science, Computer Science, Data Science, Statistics, or a closely related field.

Portfolio required demonstrating Python / NLP, data management, and reproducible research practices.

Familiarity with legal information sources and research workflows strongly preferred.

Demonstrated experience with Python and its libraries relevant to data analysis or machine learning.

Strong understanding of AI concepts, including machine learning, and experience with data assessment methodologies.

What We Offer :

A comprehensive benefits package featuring health & wellness, retirement, time away, and professional growth opportunities.

A competitive salary range of $140,758 – $177,489 per annum.

Opportunities for professional development and growth in a dynamic and innovative environment.

#J-18808-Ljbffr