Student Research Assistant

Posting Details

Student Title Classification Information

Quick Link https://chapman.peopleadmin.com/postings/41047

Job Number SE235524

Position Information

Department or Unit Name IRES

Position Headcount 1

Position Title Student Research Assistant

Academic Year Academic Year 2026-2027

Term or Semester All Academic Year

Is this Role for an Undergrad or Grad Student? Undergrad

Anticipated Pay Range $20.00 - $20.00

Pay Range Information Chapman University is required to provide a reasonable estimate of the compensation range for this position. This range takes into account a variety of factors that are considered in making compensation decisions, including experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. Salary offers are determined based on the final candidate’s qualifications and experience, as well as internal equity and other internal factors. The anticipated pay range is not a promise of a particular wage.

On which Campus will this work be done? Orange

Approved Supervisor Jared Rubin

Supervisor Email jrubin@chapman.edu

Scheduling Please use dates within Chapman Academic Calendar

(https://www.chapman.edu/academics/academic-calendar.aspx)

Desired Start Date 09/08/2026

Projected End Date 05/23/2027

Average number of hours per week Up to 10 Hrs

Position Summary Information

Job Description Summary Seeking a Research Assistant (RA) to utilize Large Language Models (LLMs) to extract, organize, and analyze data from large-scale datasets. The position requires experience with coding and working with LLM-based tools and workflows. This appointment is expected to continue through the end of 2026, with the possibility of extension through 2027.

Responsibilities

• Utilize Large Language Models (LLMs) to extract, organize, and analyze data from large-scale datasets.
• Validate and review extracted data to ensure accuracy, consistency, and quality.
• Assist with data cleaning, organization, and preparation for research and analysis.
• Perform other research-related duties as assigned.

Required Qualifications

• Proficiency in coding and programming.
• Extensive knowledge of Large Language Models (LLMs).
• Experience using LLMs for data extraction or text analysis.
• Strong analytical and problem-solving skills.
• Ability to work independently and manage large datasets.
• Strong attention to detail and communication skills.

Desired Qualifications

• Familiarity with Microsoft Office Suite applications, including Word, Excel, PowerPoint, and Outlook.
• Experience using AI-powered tools, such as ChatGPT and other generative AI platforms, to support research, data analysis, or productivity tasks.

Special Instructions to Applicants

Budget Information

Is Federal work-study required? With or Without FWS

Pre-screening Questions

Required fields are indicated with an asterisk (*).