UX Researcher AI & Quantitative Specialist

Hello, Greetings from Clifyx.
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* Title:

UX Researcher - AI & Quantitative Specialist

Location:

Seattle or San Jose (Hybrid-Onsite)

12+ Month Contract

JOB DESCRIPTION

Grade: G6 / G8 | Contract | Hybrid 3 days/week in office | Seattle or San Jose | UX Research Team AI-Native Research

Quantitative

Behavioural Data

Mixed Methods

Foresight (WOW)

We are looking for a curious, data-savvy UX Researcher to join our team as a contractor. This is not a traditional research role - it sits at the intersection of AI-augmented research, advanced quantitative analysis, and cross-team capability building. You will help accelerate our journey toward an AI-Native research practice by bringing hard-won external experience in using AI tools within research workflows, and by embedding behavioural data fluency across the team.

You will work alongside researchers, designers, and product managers - influencing how we work, not just what we deliver.

• Apply AI tools actively in day-to-day research workflows - synthesis, analysis, screener design, report generation, and more
• Lead and co-create internal initiatives that accelerate the team''s AI adoption and maturity
• Share external best practices and bring fresh thinking to how AI can transform research at scale
• Act as an internal champion for AI-native ways of working, coaching peers and running enablement sessions

• Design, execute, and analyse quantitative studies including large-scale surveys, concept tests, and benchmark studies [MUST HAVE]
• Apply statistical methods confidently: significance testing, regression analysis, factor analysis, conjoint, Max Diff, and more [MUST HAVE]
• Build clear, insight-led outputs from quantitative data that drive product and business decisions [MUST HAVE]
• Partner with data and analytics teams to ensure research findings are grounded in robust methodology

• Extract, interpret, and storytell with behavioural data from platforms such as Power BI, Amplitude, Mixpanel, or similar [MUST HAVE]
• Triangulate product usage data with primary research to surface richer, more actionable insights [MUST HAVE]
• Identify patterns in user behaviour that inform hypothesis generation and research prioritisation
• Collaborate with engineers and researchers to ensure the team has access to the right data sources and behavioural signals

• Plan and facilitate user interviews, usability studies, diary studies, and contextual enquiries
• Apply thematic analysis, affinity mapping, and Jobs-to-be-Done frameworks
• Translate qualitative findings into compelling narratives for product, design, and leadership audiences

• Lead AI research initiatives end-to-end - from scoping to delivery - while actively partnering with fellow researchers throughout [MUST HAVE]
• Work alongside researchers across the team to co-develop AI-assisted processes, templates, and playbooks that embed into everyday ways of working [MUST HAVE]
• Collaborate with researchers on shared AI projects, bringing structure and momentum while creating space for others to upskill alongside you
• Identify bottlenecks in research operations and propose scalable, AI-enabled solutions developed with the team, not just handed to them
• Contribute to a culture of continuous learning, methodological rigour, and shared ownership of the team''s AI maturity

• Demonstrable experience using AI tools within a research context - not just awareness, but active application [MUST HAVE]
• Strong quantitative research skills: survey design, statistical analysis, and insight generation [MUST HAVE]
• Hands-on experience pulling and interpreting behavioural data from Power BI, Amplitude, or equivalent platforms [MUST HAVE]
• Solid grounding in mixed-methods research - you can move fluently between qual and quant [MUST HAVE]
• Experience creating or leading AI-related research initiatives, not just participating in them [MUST HAVE]

• Experience collaborating cross-functionally with Designers,…