Quantitative UX Researcher (Temporary)

User Research International

2d•Remote

About The Position

User Research International is seeking a temporary Quantitative UX Researcher to support our client on a project-based assignment. The Quantitative UX Researcher will design, program, and launch surveys, analyze large datasets, and translate findings into clear, compelling stories for product and engineering teams. You will work across multiple research projects and collaborate closely with cross-functional partners to inform product direction and improve user experiences—particularly in AI-focused domains. This is a remote U.S.-based role.

Requirements

Strong experience in data analysis, data visualization, and storytelling with data.
5+ Years of Industry Quant Research Experience
Proficiency with Qualtrics and survey programming.
Experience designing, launching, and analyzing surveys in a UX, product, or market research environment.
Experience conducting thematic or trend analysis on existing datasets.
Proficiency in at least one statistical analysis tool (R, SPSS, SAS).
Comfortable using AI tools to support research workflows.
U.S. residency.

Nice To Haves

Experience researching developers, AI, or developer use of AI.
Background in engineering, computer science, statistics, or a related technical discipline.
Experience with Python.
Background in Human-Computer Interaction.

Responsibilities

Lead survey-based research from design through launch, including sampling strategy, programming, deployment, and data quality checks.
Conduct descriptive and advanced statistical analyses using R, SPSS, SAS, or similar tools.
Apply a variety of survey and measurement techniques, such as tree testing, card sorting, MaxDiff, and conjoint analysis (preferred).
Perform thematic or pattern-based analysis on existing datasets—for example, identifying trends in bug reports or customer issues over time.
Create clear, compelling data visualizations and communicate insights through presentations, dashboards, and written reports.
Support product, engineering, design, and data science teams by defining and tracking user experience metrics.
Manage multiple research projects simultaneously while maintaining timelines and scope.
Utilize AI tools to streamline workflows and support data analysis.