What are the responsibilities and job description for the UX Researcher position at Galent?
Job Title: UX Researcher
Location: San Jose, CA (Hybrid)
Job Summary
We are seeking an experienced UX Researcher to drive AI-augmented research initiatives and deliver actionable insights through quantitative, qualitative, and behavioral data analysis. The role requires strong expertise in research methodologies, statistical analysis, product analytics, and AI-enabled research practices.
Key Responsibilities
- Apply AI tools throughout research workflows, including synthesis, analysis, screener design, and report generation.
- Lead and co-create initiatives that accelerate AI adoption and research maturity.
- Share industry best practices and innovative approaches for scaling research through AI.
- Coach team members and promote AI-native research methods.
Quantitative Research & Statistics
- Design, execute, and analyze quantitative studies, including large-scale surveys, concept testing, and benchmark studies.
- Apply statistical methods such as significance testing, regression analysis, factor analysis, conjoint analysis, MaxDiff, and related techniques.
- Generate insight-driven recommendations from quantitative data to support product and business decisions.
- Partner with analytics teams to ensure robust research methodologies.
Behavioral Product Data Analysis
- Extract, interpret, and communicate insights from behavioral data using tools such as Power BI, Amplitude, Mixpanel, or similar platforms.
- Combine product usage data with primary research findings to uncover actionable insights.
- Identify behavioral patterns that guide hypothesis development and research prioritization.
- Collaborate with engineering and research teams to establish access to relevant data sources and signals.
Qualitative Research
- Plan and facilitate user interviews, usability studies, diary studies, and contextual inquiries.
- Apply thematic analysis, affinity mapping, and Jobs-to-be-Done frameworks.
- Translate research findings into compelling narratives for product, design, and leadership stakeholders.
Cross-Team AI Acceleration
- Lead AI-focused research initiatives from planning through delivery while partnering with fellow researchers.
- Develop AI-assisted processes, templates, and playbooks that support daily research activities.
- Collaborate on shared AI programs that enhance team capability and adoption.
- Identify operational bottlenecks and propose scalable AI-enabled solutions.
- Contribute to a culture of continuous learning, methodological rigor, and shared ownership of AI maturity.
Required Skills
- Demonstrated experience applying AI tools in research environments.
- Strong quantitative research expertise, including survey design, statistical analysis, and insight generation.
- Hands-on experience analyzing behavioral data from Power BI, Amplitude, Mixpanel, or equivalent platforms.
- Strong mixed-methods research experience across qualitative and quantitative approaches.
- Experience leading or creating AI-related research initiatives.
- UX Research expertise.
- Statistical analysis and data interpretation.
- Behavioral analytics and product data analysis.
- AI-enabled research methodologies.
Preferred Skills
- Experience collaborating with Designers, Product Managers, and Engineers in agile or product-led environments.
- Ability to communicate complex data and insights to non-research audiences.
- Familiarity with UserTesting, Qualtrics, Airtable, Maze, or similar research platforms.
- Strong ability to work independently and manage priorities effectively.
Qualifications
- Extensive experience in UX Research and mixed-methods research.
- Proven expertise in quantitative and qualitative research methodologies.
- Experience using AI tools to enhance research processes and outcomes.
- Strong analytical, communication, and stakeholder management skills.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law.
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Salary : $60 - $65