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UX Quantitative Research Intern (USA) *Remote

Design Full-time Permanent US

Job details

Not specified Salary
US Eligibility
Intern Experience
Full-time Employment

About this role

Role overview

A remote summer internship on a UX quantitative research team focused on bringing statistical rigor to product decisions. The role partners with mentors across product, design, data science, and engineering to design surveys, model user attitudes alongside behavioral data, and translate complex findings into clear narratives that shape inclusive product experiences.

Responsibilities

- Apply exploratory analysis and behavioral data to surface trends, user needs, and innovation opportunities that influence the product roadmap. - Design, launch, and analyze surveys that capture sentiment, preferences, and attitudes across key user audiences. - Combine survey responses with usage logs to model how attitudes intersect with real behavior. - Build and communicate key insights to cross-functional partners in a way that drives action. - Collaborate closely with product managers, engineers, designers, and other researchers on upcoming product experiences.

Requirements

- Current enrollment in a PhD program in statistics, psychology, sociology, applied sciences, computer science, or a closely related field. - PhD expected to be completed by June 2027. - Hands-on experience with survey methodology, including instrument design and survey data analysis. - Demonstrated command of descriptive, inferential, and multivariate statistics, along with experimental design. - Working proficiency in Python, R, or SQL. - Strong written and verbal communication, with the ability to tell a complete narrative using data and connect analysis to real product or business problems.

Benefits and work setup

- Remote position within the United States; no relocation assistance is provided. - Two summer start date windows are offered, running approximately twelve weeks. - Stated monthly compensation of $11,000. - The employer describes itself as an equal opportunity employer that evaluates candidates on qualifications and merit, with accommodations available for medical or religious needs during the hiring process.

Skills detected in the listing

PythonSQL
Detected Oct 2, 2026
Last verified Oct 6, 2026

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