Graduate Research Assistant (Mixed-methods and Multimodal Clinical Reasoning Analysis)

Job Posting Title:

Graduate Research Assistant (Mixed-methods and Multimodal Clinical Reasoning Analysis)

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Hiring Department:

IC2 Institute

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Position Open To:

All Applicants

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Weekly Scheduled Hours:

20

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FLSA Status:

Exempt from FLSA

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Earliest Start Date:

Immediately

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Position Duration:

Expected to Continue Until Dec 31, 2026

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Location:

UT MAIN CAMPUS

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Job Details:

General Notes

The GRA will work across quantitative and qualitative analyses, integrating data from multiple sources, including LLM chat transcripts, structured interaction logs, video and audio recordings from standardized patient encounters, transcripts, rubrics, surveys, and interviews.

This role is designed for a student comfortable working across methods, helping translate multimodal data into empirically grounded insights about clinical reasoning and AI use.

This position is expected to run through December 2026 with further extension expected.

Purpose

This position will support the research activities of the AI Learning Lab, a collaborative initiative with Dell Medical School focused on understanding how clinicians and trainees use large language models during clinical reasoning. The study uses mixed‑methods to examine clinical reasoning quality, cognitive engagement, and human–AI interaction in simulated clinical environments.

Responsibilities

• Conduct statistical and descriptive analyses of LLM interaction data

• Code and interpret qualitative data from transcripts and interviews

• Align observed behaviors, written reasoning artifacts, and rubric scores

• Develop mixed‑methods analytic memos synthesizing findings

• Collaborate closely with clinical faculty and the broader research team

Required Qualifications

• Experience in qualitative research methods

• Experience conducting statistical analysis of multi‑modal data, including text‑based data (e.g., chat logs), rubrics, and/or surveys

• Ability to move between computational summaries and interpretive analysis

• Familiarity with R or Python and qualitative tools (e.g., Dedoose/NVivo) preferred

Relevant education and experience may be substituted as appropriate.

Salary Range

$33,108

Working Conditions

• Typical office environment

• Remote work environment with occasional in-person meetings

• GRA’s will use their own computers

Work Shift

• 20 hours per week

• M-F, 8 am - 5 pm

• Nominally, in-person at the IC2 Institute, however, some occasional remote work is currently permitted

• Flexible hours to be arranged with supervisor.

Required Materials

• Resume/CV

• 3 work references with their contact information; at least one reference should be from a supervisor and at least one reference should be from a faculty member familiar with the student’s related skills and experience.

• Letter of interest

Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded.  Once your job application has been submitted, you cannot make changes.

Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of