Job Detail

DISSC 2026 AI Workshop Research Assistants
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Job ID	37923
Employer	Science Centers and Institutes
Employer Type	On Campus
Category	Research
Job Type	On-Campus Jobs
Job Description	The Data Intensive Social Science Center (DISSC) seeks two research assistants to support a recurring series of workshops on AI-assisted data analysis, beginning with an introductory workshop and followed by more advanced programs. Workshops range from foundational use of LLMs (e.g., Claude) for data analysis to advanced AI pair-programming techniques drawn from software development best practices. Responsibilities: Setup instructions will be provided to participants via slides; RAs will assist individuals who need hands-on help with installation and configuration (languages, IDEs, credentials) and ensure all participants are set up and ready before each workshop begins. During workshops, RAs will troubleshoot issues, help participants navigate their tools, and answer basic questions about the materials.
Job Requirements	Required Qualifications: Familiarity with at least one of the following combinations: Positron with R, or VS Code with Stata, R, or Python. Experience using LLMs via API for coding or data analysis (e.g., Claude Code, Copilot, or similar tools). Comfort working across macOS and Windows. Ability to follow detailed technical instructions and troubleshoot when steps don't work as expected. Preferred Technical Skills: Experience with more than one of the above language/IDE combinations. Familiarity with environment variable configuration, package/dependency management, or command-line tools (e.g., Homebrew, pip, terminal basics). Application Requirements: Interested candidates must submit a current CV highlighting their academic background, relevant coursework, any research experience, and technical skills. Please also include the name of a faculty member who would serve as a reference for you. Qualified candidates should email materials to: nick.warren@yale.edu
Compensation	$24/hour due to the advanced level of technical skills required for these roles.
Job Level	Exception Rate
Hours	5.0 to 10.0 hours per week
Primary Contact	Nick Warren
Primary Contact's Email	nick.warren@yale.edu
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