Staff Mixed Methods Researcher

What You’ll Do

• Lead high-impact mixed methods research that shapes product strategy across clinical, revenue cycle, and AI-assisted workflows.
• Develop a deep understanding of how clinicians, care teams, administrators, and healthcare stakeholders work in real-world settings 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 to translate research into clear product direction and roadmap implications.
• Triangulate qualitative insights, quantitative data, product metrics, customer feedback, and domain expertise to bring clarity to complex decisions.
• Influence senior leaders and cross-functional teams through sharp synthesis, compelling storytelling, and actionable recommendations.
• Raise the bar for research rigor, ethics, and participant privacy in a high-trust healthcare and AI environment.

What You’ll Bring

• 8+ years of user research experience, including Staff-level or equivalent experience leading complex, ambiguous research programs that influence product strategy.
• Background in healthcare research; experience conducting research into physician or care team workflows.
• Proven ability to independently design and execute both qualitative and quantitative research, including interviews, contextual inquiry, and surveys.
• Experience conducting foundational research that identifies unmet needs, product opportunities, and strategic roadmap implications.
• Strong analytical skills; comfortable working with quantitative data, survey analysis, product metrics, and triangulating evidence across multiple sources.
• Exceptional synthesis, storytelling, and executive communication skills.
• Strong cross-functional partnership with product, design, engineering, data science, customer-facing teams, and domain experts.
• High judgment around research ethics, participant privacy, sensitive data, and research rigor in regulated or high-trust environments.

Bonus Points If…

• Experience researching complex workflows, ideally in healthcare, enterprise SaaS, AI products, EHRs, clinical documentation, or other technical/high-stakes domains.
• Strong quantitative research or data analysis expertise, including SQL, statistical analysis, or advanced survey methods.
• Experience researching AI-assisted workflows, trust, quality, human review, or adoption of automation in expert domains.
• Experience presenting high-impact research to executives and shaping company-level product opportunities.