Mixed-Methods UX Researcher

We are seeking a Mixed-Methods UX Researcher with 5+ years of experience to lead research studies that combine quantitative rigor with deep qualitative insights

In this role, you will leverage primary and secondary quantitative data sets to tackle complex business questions, ensuring a holistic analysis of user needs and market opportunities. You will manage studies end-to-end—from sample design and data cleaning to advanced quantitative methods and qualitative synthesis—delivering digestible, high-impact stories to executive leadership, product, design, and sales teams.

The ideal candidate is an exceptionally strong communicator and collaborator who thrives in cross-functional environments and balances quantitative expertise with hands-on qualitative research tools.

Length: 6 months (with potential to convert to full-time FTE)

Hours: 40 hrs/wk (Full-Time)

Location/time zone: Remote in the U.S

Compensation: TBD

• Holistic Data Synthesis: Combine multiple primary and secondary quantitative datasets with qualitative findings to answer key business and product questions.
• End-to-End Study Execution: Manage research studies from inception to delivery, including sample design, data collection, cleaning, and sample weighting to ensure high data quality.
• Quantitative Analysis & Dashboards: Conduct robust data analysis (cross-tabulations, advanced survey methods) and build clear dashboards to surface key trends.
• Executive-Level Reporting: Translate complex research data into clear, compelling, and actionable reports for non-research audiences (senior leadership, sales, product, and design).
• Qualitative Exploration: Conduct supporting qualitative research to provide rich context to quantitative data trends.

• Experience: 5+ years of professional UX research or insights experience.
• Advanced Survey & Quant
  
  Skills:
  
  Deep expertise in survey tools (Qualtrics and/or Alchemer) and advanced quantitative methodologies (Max Diff, Conjoint, pricing research, and sample weighting).
• Solid Qualitative Foundation: Proven experience with modern qualitative tools and platforms (e.g., dscout, Dialogue AI, or other AI-assisted qual tools).
• Communication &
  
  Collaboration:
  
  Excellent written and verbal communication skills with a track record of cross-functional partnership.
• Bonus points if you have experience with AI research tools or working in the healthcare domain.

• Work Samples / Portfolio: We strongly encourage submitting relevant work samples or a portfolio alongside your application.