Staff Mixed Methods Researcher

Abridge - San Francisco, CA

Hiring: Staff Mixed Methods Researcher Company: Abridge Location: San Francisco, CA Job Posted Time: 2026-09-02 17:58:43 Employment Type: Full-time Target Skills & Keywords: Mixed Methods Research, User Research, Healthcare Research, Qualitative Research, Quantitative Research, Contextual Inquiry, Workflow Observation, Surveys, Product Strategy, AI in Healthcare, Clinical Workflows, Trust Dynamics, Cross-functional Collaboration, Research Ethics, Participant Privacy Experience: - Experienced researcher with mixed methods expertise - Demonstrated experience conducting healthcare research, ideally with clinicians, care teams, or enterprise healthcare systems - Proven track record of leading strategic research that influences product direction and roadmap decisions - Experience influencing senior leaders and cross-functional teams through synthesis, storytelling, and actionable recommendations Required Skills: - Lead high-impact mixed methods research across clinical, revenue cycle, and AI-assisted workflows - Develop deep understanding of clinicians, care teams, administrators, and healthcare stakeholders through interviews, contextual inquiry, workflow observation, surveys, and product data - Identify unmet needs, adoption barriers, trust dynamics, and product opportunities across specialties, care settings, health systems, and user roles - Partner closely with Product, Design, Engineering, Data Science, Clinical, Customer Success, and Go-to-Market teams - Triangulate qualitative insights, quantitative data, product metrics, customer feedback, and domain expertise - Raise the bar for research rigor, ethics, and participant privacy in a high-trust healthcare and AI environment Qualifications: - Mixed methods research expertise - Healthcare research experience, ideally with clinicians, care teams, or enterprise healthcare systems - Strong synthesis, storytelling, and communication skills - Ability to bring clarity to complex, high-stakes environments - Based in New York City or San Francisco Compensation: $215,000.00/yr - $269,000.00/yr base pay range. Actual pay will be based on skills and experience. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!