UX Human Factors Researcher, Consumer

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

Who We Are

Verily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes.

Description

We’re looking for a Mixed-Methods UX researcher who’s excited to work at the intersection of AI, healthcare, and human behavior. You’ll shape products from zero-to-one and beyond, working closely with design, product, engineering, product analytics and clinical partners to ensure we’re solving the right problems for real people. You’ll influence strategy, guide product direction, and elevate the quality of user experience through rigorous, human-centered research. This role is ideal for a researcher who thrives in ambiguity, brings strong methodological rigor, and excels at translating complex findings into clear product direction.

You Will Work On

• Generating insights that shape AI-powered experiences helping people understand and act on their medical data.
• Partnering with product, clinical, and engineering teams to design and test dynamic, personalized care pathways grounded in behavioral science.
• Building a deep understanding of user needs to inform a patient-centered platform for longitudinal health insights.
• Leading end-to-end research to inform personalized care recommendations and health-management experiences.

Responsibilities

• Design and execute mixed-methods research (qualitative and quantitative), including interviews, usability testing, formative and summative studies, diary studies, surveys, behavioral analytics, and literature reviews.
• Synthesize and communicate insights through storytelling, frameworks, and visual artifacts to influence product strategy and design decisions.
• Collaborate with cross-functional teams, including Product Analytics, to analyze behavioral data, triangulate with qualitative findings, and advocate for user needs.
• Contribute to UX research excellence by sharing best practices, setting standards, and mentoring team members.

Why This Role

• Work on AI that matters — real people, real health impact.
• Shape products at early stages, not just incremental improvements.
• Collaborate with world-class designers, engineers, and clinicians.
• High ownership, high trust, high impact.

Qualifications

Minimum Qualifications

• BA/BS in Social Sciences (Psychology, Sociology, Anthropology, etc), Human-Computer Interaction, Product Design or related field or, in lieu of a degree, equivalent work experience.
• 4+ years of applied UX research experience.
• Experience leading or supporting Human Factors studies and documentation.
• Strong command of qualitative and quantitative methods and tools (e.g., Dscout, Qualtrics), with the ability to analyze complex datasets, apply basic statistics, and translate insights into product recommendations.

Preferred Qualifications

• M.A/M.S./Ph.D. in Social Sciences, Human-Computer Interaction, Product Design or related field.
• Experience in healthcare research: Consumer healthcare, digital health, or regulated domains, with familiarity in behavior change frameworks and health outcomes research.
• Experience working on AI-powered or data-driven products.
• Experience driving alignment in fast-paced 0-1 environments.

Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States.

The US base salary range for this full-time position is $123,500-$185,000 + bonus + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Verily Life Sciences LLC is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here.