Lead Quantitative UX Researcher, Behavioral Data & Amplitude
About The Position
The Lead Quantitative UX Researcher makes behavioral data a core part of understanding users and uses Amplitude and behavioral analytics to uncover insights into the diverse client and customer populations served by athenahealth. Embedded in product areas and partnering closely with the Behavioral Data & Product team, this researcher helps product, design, and engineering teams use behavioral data in everyday decisions. The role stays closely involved with teams to understand user behavior and inform what they build, while serving as an internal expert who helps colleagues understand and use behavioral data effectively. This is a hybrid role based in Boston and reports to the Principal Design Researcher, Senior Manager. The role sits within the Data and Ecosystem Platform subdivision, which focuses on data access, integration, and interoperability across the healthcare ecosystem. As part of the broader User Experience team, the researcher supports specific product areas and may shift focus as organizational priorities evolve. The work is primarily hands-on research and exploration, with additional responsibility for creating repeatable methods, cohort definitions, dashboards, study designs, and tracking standards that help teams across the organization use behavioral data effectively. The researcher plans and conducts quantitative and qualitative research, analyzes behavioral and survey data, and translates findings into clear recommendations and product decisions. They collaborate across research, product, design, engineering, and behavioral data teams; support experimentation and post-launch evaluation; and build reusable resources and practices. The role also involves applying AI tools responsibly to improve analysis and establish transparent, repeatable AI-assisted research workflows.
Requirements
- At least 5 years of industry experience in quantitative UX research or behavioral data science, with demonstrated depth in behavioral data and hands-on experimentation experience.
- Proficiency in SQL and R or Python, and in statistical methods such as significance testing and modeling.
- Experience with product analytics platforms, specifically Amplitude.
- Experience using AI tools in everyday research practice to improve behavioral and survey data analysis and develop responsible, repeatable AI-assisted workflows.
- Working competence in qualitative methods, including user interviewing, usability testing, and concept testing.
- Working understanding of usability heuristics and core design principles, including information hierarchy, chart selection, and progressive disclosure, applied to dashboards, reports, and self-service tools.
- Ability to move between technical rigor and clear stakeholder communication.
- Portfolio or work samples demonstrating problem framing, study design, analysis, and how findings shaped product decisions.
Nice To Haves
- Academic or professional background in behavioral science, behavioral economics, the social sciences, or a related field.
- Experience in healthcare, enterprise software, or other complex operational domains.
Responsibilities
- Plan research with Product, Design, Engineering, and Research partners by defining research questions, hypotheses, study designs, and success measures.
- Analyze user and customer behavior through funnel and drop-off analysis, retention and cohort comparisons, journey and path analysis, behavioral segmentation, controlled experiments, surveys, and statistical modeling.
- Use Amplitude, SQL, and R or Python to combine data sources, conduct significance testing and modeling, and analyze behavioral, survey, and mixed-method data.
- Identify segment- and specialty-specific patterns that improve understanding of diverse users and customers.
- Combine quantitative findings with qualitative and survey research to better understand user behavior and the factors influencing it.
- Conduct qualitative research, including user interviews, usability testing, concept testing, diary studies, and contextual inquiry.
- Define meaningful cohorts and segments and translate them into participant lists, screeners, and outreach criteria.
- Partner with the Behavioral Data & Product and Engineering teams on cross-product analyses, event taxonomies, tracking plans, data quality, and centralized user profile use cases.
- Develop dashboards, reports, readouts, and recommendations that help technical and non-technical stakeholders make product and design decisions.
- Apply AI tools responsibly to improve the speed, scale, and quality of behavioral and survey data analysis and develop transparent, repeatable AI-assisted research workflows.
- Identify behavioral research opportunities and carry them from initial questions through analysis, recommendations, and product decisions.
- Integrate behavioral insights into product planning, design critiques, experimentation, and post-launch reviews.
- Partner with designers to translate findings into design recommendations and evaluate whether experience changes achieve intended results.
- Convert effective research methods, templates, dashboards, and study designs into repeatable tools and processes in partnership with the Behavioral Data & Product team.
- Create case studies and practical examples demonstrating how behavioral data and Amplitude can support product decisions.
- Share knowledge about behavioral analytics methods and contribute to research standards and practices across the organization.
Benefits
- Health and financial benefits
- Location-specific commuter support
- Employee assistance programs
- Tuition assistance
- Employee resource groups
- Collaborative workspaces; some offices welcome dogs
- Flexible work arrangements supporting work-life balance
- Company-sponsored events, including book clubs, external speakers, and hackathons
- Annual discretionary bonus plan, variable compensation plan, and equity plans, depending on role eligibility
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
