Quantitative User Researcher

What you'll do

• Design and implement user studies to quantitatively validate product performance across various technical domains.
• Develop research roadmaps, study protocols, measurement frameworks, and analysis plans based on experimental design principles.
• Apply methodological rigor to ensure study validity and produce trustworthy, generalizable results.
• Analyze and interpret quantitative study data to deliver actionable findings to technical and non-technical stakeholders.
• Align with cross-functional teams on research priorities and ensure findings translate into product decisions.
• Identify gaps in current research methodologies and proactively propose improvements.
• Use statistical tools like R or Python to process data and perform complex statistical analyses.

What we're looking for

• Master's degree in Biomedical Engineering, Human Factors, Experimental Psychology, HCI, or a related field, or equivalent practical experience.
• PhD in Biomedical Engineering, Human Factors, Experimental Psychology, HCI, or a related field, or equivalent practical experience (preferred).
• 5+ years of industry experience designing and executing controlled human subjects studies.
• 3+ years of industry experience designing and executing controlled human subjects studies (preferred).
• Strong proficiency in statistical analysis, including regression and ANOVA.
• Proficiency with data processing and statistical tools such as R or Python.
• Excellent written and verbal communication skills to present technical findings to diverse audiences.
• Background in biometric measurement, wearables studies, product performance benchmarking, or experience with AI tools (preferred).