UX Researcher

Kforce has a client seeking a UX Researcher to join their team. As a UX Researcher supporting our clinical decision-making tools, you'll play a pivotal role in ensuring our products meet real-world user needs. You'll conduct impactful research, analyze large datasets of unstructured written text, and collaborate closely with cross-functional teams. Your insights will guide the development of solutions that deliver trustworthy, relevant information within clinical workflows. Problem-Solving & Strategy:

• Collaborate with your squad to explore problems from multiple perspectives, especially those involving large-scale text data
• Align research solutions with product strategy to ensure our tools meet user and business needs
• Apply appropriate research methods-including qualitative analysis, thematic coding, and natural language processing techniques-to analyze unstructured text data

• Develop an evidence-based research strategy leveraging large datasets, in partnership with designers, PMs, engineers, and data scientists
• Model excellence in user-centered research processes, especially in the context of data-driven insights from text analysis
• Advocate for UX research best practices, particularly for research involving large-scale and unstructured text data
• Efficiently iterate research within two-week sprint cycles, sharing actionable findings with your team
• Use data to define and track key metrics, providing clear, data-driven insights to guide product development

• Acquire a thorough understanding of customer use cases and ensure their needs are addressed, using insights derived from large-scale text data
• Gain deeper knowledge of market segments and competitors, especially in the context of clinical decision support tools
• Proven experience in UX research, including designing and executing studies involving large datasets of unstructured written text
• Strong skills in qualitative and quantitative research methods, including text analysis, coding, natural language processing, and synthesis
• Experience collaborating with cross-functional teams (designers, PMs, engineers, data scientists)
• Proficiency in at least one coding language commonly used for text data analysis (such as Python or R)
• Ability to communicate complex findings clearly and advocate for user-centered design
• Familiarity with healthcare is a plus