MINIMUM REQUIREMENTS:

Recommended Education & Experience:

• Master's degree in one of: Library/Information Science (ALA-accredited), Computer Science, Data Science, Statistics, Information Science, or a closely related field; or an equivalent combination of education and experience (e.g., 3+ years applied data science supporting academic or legal research).

• Portfolio required (GitHub/notebooks or comparable) demonstrating Python/NLP, data management, and reproducible research practices.

• Familiarity with legal information sources and research workflows strongly preferred; JD not required.

Knowledge, Skills and Abilities:

• Required

  • Demonstrated experience with Python and its libraries relevant to data analysis or machine learning (e.g., Pandas, Scikit-learn).

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

  • Documented experience in providing technical training or consultations.

• Preferred

  • Familiarity with legal information sources and research processes.

  • Experience orchestrating LLM workflows (e.g., RAG pipelines, evaluation/guardrails) and working with tools like Jupyter; familiarity with Git for collaboration.

  • Knowledge of data management plans and reproducible research practices.

  • Experience with data visualization tools (e.g., Tableau).

  • Hands-on experience with NLP/LLM tooling such as spaCy and Hugging Face; ability to build RAG notebooks and run small evaluations.

  • Orchestration frameworks familiarity such as LangChain or LlamaIndex for rapid prototypes.

  • Proficiency with tools like Jupyter, GitHub, and environment management for reproducible workflows.

  • Proficiency with SQL and API data acquisition patterns; light web scraping with ethics/compliance awareness.

  • Comfortable packaging a project so it runs the same on any machine (Docker) and, when a laptop isn't enough, using campus high-performance computing (HPC) or a small cloud server to process larger datasets or speed up jobs.

PHYSICAL REQUIREMENTS, WORKING CONDITIONS, & WORK STANDARDS:

• Physical Requirements: Primarily a sedentary role involving desk-based computer tasks. May occasionally lift or move objects up to 10 pounds. Consistent with its obligations under the law, the University will provide reasonable accommodations to any employee with a disability who requires an accommodation to perform the essential functions of the job.

• Working Conditions: Work is performed in a typical office environment. May work extended hours, evenings, and weekends as needed to complete projects or support events.

• Work Standards:

  • Interpersonal Skills: Demonstrates the ability to work well with colleagues and clients and with external organizations.

  • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.

  • Subject to and expected to comply with all applicable University policies and procedures.

**We encourage you to apply. The application process includes your submission of a cover letter, resume, and at least 3 professional references.**

Benefits & Professional Development:

We are committed to the well-being and growth of our staff. This position includes a comprehensive benefits package, effective on the first day of employment, featuring:

• Health & Wellness: Multiple medical, dental, and vision plans; health savings and flexible spending accounts; and access to wellness facilities and financial incentives.

• Retirement: A generous 403(b) retirement plan with university contributions and matching.

• Time Away: Substantial paid time off, including vacation, 11 paid holidays, a two-week winter closure, sick leave, and baby bonding leave.

• Professional Growth: An annual professional development stipend and a tuition reimbursement program for degree programs.

• Work/Life Balance: Programs to support a healthy work/life balance, including child care subsidy grants, back-up dependent care, and free commute passes.

The expected pay range for this position is $140,758 - $177,489 per annum.

Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.

At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.