AI-Driven Health UX Researcher (Mixed Methods)

SupportFinity™; San Francisco (CA); Hybrid; USD 123,500 - 185,000; Full time

Benefits offered by this job

Bonus

Benefits

Job summary

SupportFinity™ is seeking a Mixed-Methods UX researcher in San Francisco to shape products through rigorous research at the intersection of AI and healthcare. This role involves generating insights and collaborating with cross-functional teams to design user-centric solutions.

The ideal candidate will have a BA/BS in a relevant field and at least 4 years of experience in applied UX research, along with strong qualitative and quantitative skills.

Qualifications

• 4+ years of applied UX research experience.
• Experience leading or supporting Human Factors studies.
• Strong command of qualitative and quantitative methods.

Responsibilities

• Design and execute mixed-methods research.
• Synthesize and communicate insights through storytelling.
• Collaborate with cross-functional teams to analyze behavioral data.
• Contribute to UX research excellence by sharing best practices.

Skills

Applied UX research experience

Qualitative and quantitative methods

Human Factors studies

Data analysis skills

Education

BA/BS in Social Sciences or related field

M.A/M.S./Ph.D. in Social Sciences

Tools

Dscout

Qualtrics

Job description

SupportFinity™ is seeking a Mixed-Methods UX researcher in San Francisco to shape products through rigorous research at the intersection of AI and healthcare. This role involves generating insights and collaborating with cross-functional teams to design user-centric solutions.

The ideal candidate will have a BA/BS in a relevant field and at least 4 years of experience in applied UX research, along with strong qualitative and quantitative skills.