Student Research Assistant - Prediction Markets Data Collection

Position Overview

This position supports a research project on prediction markets, focusing on data collection and organization from platforms such as Polymarket and Kalshi. The student will assist in building a structured dataset used for academic research. The role is ideal for students interested in marketing analytics or research methods.

Throughout their employment, student employees will maintain and manifest positive actions that align with and support the Code of Conduct for the School of Business.

Job Description

Duties include but are not limited to:

60% Collect and organize data from prediction market platforms (e.g., Polymarket, Kalshi).

30% Clean and structure datasets in Excel or similar software.

5% Assist with basic data analysis and documentation of procedures.

5% Other research-related tasks as assigned.

Required Qualifications

• Ability to work independently and meet deadlines.
• Proficiency in Excel or Google Sheets.
• Strong attention to detail and ability to follow structured tasks.
• Strong organizational skills.

Position Requirements

During the semester term of the appointment, the student hourly must be enrolled in no fewer than 6 credit hours. For summer periods the student hourly must: (1) have been enrolled in no less than 6 hours in the past spring semester or (2) be pre-enrolled in the upcoming fall semester in no less than 6 hours or (3) be enrolled in summer session or (4) be admitted to study in the upcoming fall semester. Student Hourlies may be undergraduate or graduate students. (Exceptions granted for GRA/GTA/GA appointments DO NOT apply to Student Hourly appointments).

Employment Conditions

• Student employees are not eligible for remote work arrangements unless an exception is approved by the unit leadership and HR.
• This is an hourly/non-exempt position. A student employee cannot hold an hourly/non-exempt position and a salaried/exempt graduate or undergraduate position (GRA/GTA/GA/RUA/RGA) concurrently.

Additional Candidate Instructions

Submit an online application and resume. Applicants may also include a brief statement (optional) describing their interest in the position and any relevant experience.

Contact Information to Applicants

Francisco Zuloaga Cosme

[email protected]

Advertised Salary Range

$10.25 Hourly

Anticipated Start Date

Sunday May 10, 2026

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