Behavioral Science UX Researcher, Consumer Products

📍 Job Overview

Job Title: Behavioral Science UX Researcher, Consumer Products Company: Verily Location: San Bruno, California; Boston, Massachusetts Job Type: FULL_TIME Category: User Experience Research / Behavioral Science Date Posted: December 04, 2025 Experience Level: Mid-Senior Level (estimated 4-7 years) Remote Status: On-site

🚀 Role Summary

• This role is pivotal in applying behavioral science principles to enhance user experience within Verily's consumer health products.
• You will lead end-to-end research studies and design rigorous behavioral experiments to drive product innovation and personalized health behavior change.
• The position requires a strong foundation in qualitative and quantitative research methodologies, with a focus on translating complex findings into actionable product features and AI-driven interventions.
• Collaboration with cross-functional teams including designers, product managers, and engineers is essential to solve complex healthcare challenges.

📝 Enhancement Note: The role title "Behavioral Science UX Researcher" and the description explicitly mention applying behavioral science to consumer products like "Verily Me" and "Lightpath," indicating a strong focus on human-centered design informed by psychological and sociological principles. The emphasis on "personalized health behavior change at scale" points towards a GTM (Go-To-Market) operations aspect, where research directly influences product strategy and user adoption. The requirement for experience with A/B tests and RCTs suggests a data-driven product development lifecycle, aligning with revenue and sales operations goals of improving user engagement and conversion.

📈 Primary Responsibilities

• Design and execute comprehensive user research studies, translating core behavioral science hypotheses into robust experimental and observational designs.
• Employ a diverse array of research methodologies, including usability testing, in-depth qualitative interviews, surveys, and literature reviews, to inform product strategy and address critical design questions.
• Analyze and synthesize complex qualitative and quantitative data sets, transforming findings into impactful, actionable recommendations for product leadership and cross-functional partners.
• Develop and deliver behavioral science training programs and workshops to equip cross-functional partners (XFPs) with the knowledge and tools to implement evidence-based product initiatives effectively.
• Collaborate closely with product managers, designers, and software engineers to integrate research insights and behavioral science principles into the product development lifecycle.
• Contribute to the development of proprietary behavioral science frameworks and models tailored for health behavior change interventions.
• Measure and evaluate the performance of product features and interventions using rigorous analytical methods, including A/B testing and Randomized Control Trials (RCTs).
• Stay abreast of the latest research in behavioral science, UX research, and digital health to continuously inform best practices and innovation.

📝 Enhancement Note: The responsibilities emphasize "translating core behavioral science principles and hypotheses directly into rigorous experimental designs" and "analyzing complex qualitative and quantitative data, synthesizing key findings into impactful, actionable recommendations." This highlights a crucial operations function: turning research into measurable product improvements that can impact user adoption, retention, and ultimately, revenue. The mention of "delivering behavioral science training programs" indicates a role in operationalizing behavioral insights across the organization, a key GTM enablement function.

🎓 Skills & Qualifications

Education:

• BA/BS in Social/Behavioral Sciences (Psychology, Sociology, Anthropology, etc.), Human-Computer Interaction (HCI), or a related field.
• Equivalent work experience will be considered in lieu of a degree.
• MA/MS/Ph.D. in Social Sciences, Human-Computer Interaction, Product Design, or a related field is preferred.

Experience:

• Minimum of 4 years of experience in an applied research role, demonstrating a strong track record of designing and executing experimental, observational, and quantitative research.
• Proven ability to leverage research results to drive actionable impact for product development and strategic decision-making.
• Demonstrated expertise in behavioral science research methodologies and a comfort level with developing and applying evaluation methods such as A/B tests and Randomized Control Trials (RCTs) to assess performance.
• Experience with AI model development is preferred.

Required Skills:

• Behavioral Science Research: Deep understanding and practical application of behavioral economics, psychology, and sociology principles.
• UX Research Methodologies: Proficiency in a wide range of qualitative (interviews, ethnography, usability testing) and quantitative (surveys, analytics) research methods.
• Experimental Design: Expertise in designing and executing rigorous experiments, including A/B tests and RCTs, to measure intervention effectiveness.
• Data Analysis & Synthesis: Strong analytical skills for interpreting complex qualitative and quantitative data and synthesizing actionable insights.
• Collaboration & Communication: Excellent interpersonal, written, and verbal communication skills, with the ability to articulate complex findings to diverse stakeholders.
• Product Development Lifecycle: Understanding of how research integrates into product strategy, design, and development processes.
• Agile & Fast-Paced Environments: Ability to adapt to shifting priorities, manage multiple projects simultaneously, and thrive in a dynamic setting.

Preferred Skills:

• AI Model Development: Familiarity with the principles and applications of AI in product features.
• Behavioral Frameworks: Experience implementing established behavioral science frameworks (e.g., COM-B, EAST, Fogg Behavior Model).
• Research Tools: Proficiency with research platforms such as Dscout, Qualtrics, and HeyMarvin.
• Health Technology Domain: Understanding of the unique challenges and opportunities in the digital health space.

📝 Enhancement Note: The requirement for "demonstrated experience with behavioral science research, and comfort with developing and applying evaluation methods such as A/B tests and Randomized Control Trials (RCTs) frameworks to assess performance" directly relates to the operationalization of product features and interventions. This implies a need for candidates who can not only research but also design and test initiatives that drive measurable outcomes, a core function within operations. The mention of AI model development hints at sophisticated data science integration, a common area of focus for advanced operations roles.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies in Behavioral Intervention Design: Present detailed case studies showcasing the design and execution of behavioral experiments or interventions aimed at influencing user behavior.
• Data-Driven Impact Demonstration: Include examples where you translated research findings into concrete product features or changes that demonstrably improved key metrics (e.g., user engagement, adherence, conversion rates).
• Methodological Rigor: Provide clear documentation of the research methodologies employed, including experimental designs, data analysis techniques, and any statistical approaches used (e.g., RCT, A/B testing).
• Cross-Functional Collaboration Examples: Showcase instances where you effectively collaborated with designers, product managers, and engineers, illustrating how your research informed their work and led to successful product outcomes.

Process Documentation:

• Experimental Design Documentation: Demonstrate experience in documenting experimental protocols, hypotheses, sample sizes, and analysis plans for behavioral studies.
• Research Synthesis and Recommendation Frameworks: Provide examples of how you structure and present research findings and recommendations to ensure clarity, impact, and actionable insights for product teams.
• User Journey Mapping & Behavioral Analysis: Illustrate how you map user journeys and analyze behavioral patterns to identify opportunities for intervention and product improvement.
• Training Material Development: If applicable, showcase any materials developed for training or empowering cross-functional partners on behavioral science principles or research methodologies.

📝 Enhancement Note: For a role focused on applying behavioral science to product development, a portfolio is critical. The emphasis on "designing experimental, observational and quantitative research, and leveraging results to drive actionable impact" means candidates should showcase projects that demonstrate this cycle. Portfolio items should highlight not just research findings but the impact of those findings on product metrics and user behavior, directly aligning with the operational goal of driving measurable business outcomes. Experience with "A/B tests and Randomized Control Trials (RCTs)" suggests a need for portfolio pieces that detail the setup, execution, and analysis of such experiments.

💵 Compensation & Benefits

Salary Range:

• US Base Salary Range: $134,000 - $190,000 per year.

Benefits:

• Bonus compensation (details not specified).
• Comprehensive benefits package (specifics not detailed, but typically includes health, dental, vision insurance, retirement plans, paid time off).

Working Hours:

• Full-time position, typically around 40 hours per week.

📝 Enhancement Note: The provided salary range of $134,000 - $190,000 for San Bruno, California, and Boston, Massachusetts, aligns with mid-to-senior level UX Researcher and Behavioral Scientist roles in major tech hubs. San Bruno, being in the Bay Area, often commands salaries at the higher end of such ranges due to the high cost of living and competitive market. Boston also has a strong tech and biotech presence, supporting this salary band. The inclusion of "bonus + benefits" indicates a total compensation package beyond base salary. The AI Work Arrangement suggests "On-site," which is typical for roles requiring close collaboration and access to specific testing environments or equipment, but Verily often has hybrid policies, so this may be flexible.

🎯 Team & Company Context

🏢 Company Culture

Industry: Health Technology, Biotechnology, Data Science, Digital Health. Verily operates at the intersection of technology and healthcare, aiming to improve health outcomes through data-driven insights and precision medicine. Company Size: Verily is a large organization, being a subsidiary of Alphabet. This implies access to significant resources, a structured environment, and opportunities for large-scale impact. Founded: Verily was launched from Google X in 2015. This origin story suggests a culture rooted in innovation, rapid prototyping, and ambitious problem-solving, with a strong emphasis on data and technology.

Team Structure:

• The Consumer Products team likely comprises product managers, designers, software engineers, data scientists, and other researchers.
• This Behavioral Science UX Researcher will be part of a broader research or product development group, reporting into a research lead or product lead.
• Close collaboration is expected with UX designers and product managers to translate research into tangible product features.

Methodology:

• Data-Driven Approach: Verily emphasizes using data from various sources (clinical, social, behavioral, real-world) to inform solutions.
• Precision Health Focus: The core mission is to personalize health solutions for individuals.
• Agile Development: Given its tech industry roots, agile methodologies for product development and iteration are highly probable.
• Scientific Rigor: The emphasis on behavioral science and experimental design points to a commitment to evidence-based practices.

Company Website: https://www.verily.com/

📝 Enhancement Note: Verily's identity as an Alphabet subsidiary suggests a culture that values innovation, data-driven decision-making, and tackling complex, impactful problems. For a behavioral science researcher, this means the work is likely to be scientifically rigorous, highly collaborative, and focused on real-world application with significant scale. The "consumer products" focus implies a need to understand user motivations, adoption barriers, and long-term engagement strategies, which are critical for GTM success.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-to-senior level researcher (estimated 4-7 years of experience). It involves leading end-to-end studies, applying complex methodologies, and influencing product strategy. This level is critical for operationalizing research insights into product features and interventions that drive business outcomes. Reporting Structure: The researcher will likely report to a Senior Manager or Director of Research, Product, or User Experience. They will collaborate closely with Product Managers and UX Designers, acting as a key contributor to product strategy and execution. Operations Impact: The work directly influences product design, user adoption, and behavior change, all of which are critical drivers of user engagement, retention, and ultimately, the commercial success of Verily's consumer products. By applying behavioral science and rigorous testing, this role contributes to optimizing the user funnel and maximizing the value proposition of Verily's offerings.

Growth Opportunities:

• Specialization: Deepen expertise in specific areas of behavioral science (e.g., habit formation, decision psychology) or research methodologies (e.g., advanced causal inference, longitudinal studies).
• Leadership: Transition into a lead researcher role, mentoring junior team members, or managing specific research programs.
• Product Strategy Influence: Grow to become a key strategic advisor on user behavior and product direction, influencing the roadmap for major consumer products.
• Methodology Development: Contribute to developing and refining Verily's proprietary frameworks for behavioral intervention and user engagement.
• Cross-Functional Advancement: Potentially move into product management or strategy roles, leveraging a deep understanding of user behavior and product development.

📝 Enhancement Note: This role is crucial for the "operations" of product development in the consumer health space. By focusing on "applying and testing principles from behavioral science to our products" and "driving personalized health behavior change at scale," the researcher directly impacts user adoption and retention. This is a GTM-critical function, as successful behavior change leads to sustained product use and potentially new revenue streams or improved health outcomes that can be leveraged for value-based care models. Growth opportunities often involve moving from individual contribution to influencing strategy and potentially leading teams or initiatives.

🌐 Work Environment

Office Type: The role is designated as "On-site," suggesting a traditional office-based work environment. However, Verily, like many Alphabet companies, may offer hybrid work arrangements, but the primary expectation for this role is on-site presence for collaborative work. Office Location(s): San Bruno, California (near San Francisco Bay Area) and Boston, Massachusetts. These are major hubs for technology, biotech, and healthcare innovation, offering a vibrant ecosystem for professional development.

Workspace Context:

• Collaborative Spaces: Expect an environment that encourages collaboration with designers, product managers, and engineers, likely featuring meeting rooms, workshops, and open-plan areas.
• Access to Tools & Technology: The role will involve using various research software, data analysis tools, and potentially specialized hardware or software for behavioral experiments.
• Cross-Functional Interaction: Opportunities to engage daily with diverse teams working on cutting-edge health technology products.

Work Schedule: Standard full-time working hours (approximately 40 hours per week) are expected, with the flexibility to manage research project timelines. This may involve occasional adjustments for user interviews or experiment monitoring, but core hours are likely consistent.

📝 Enhancement Note: The "On-site" classification is important for operations roles that require deep, in-person collaboration and access to specific testing environments or team dynamics. While hybrid models are common, this designation suggests a preference for direct team interaction, crucial for rapid iteration and problem-solving in product development and GTM strategy alignment. The locations in San Bruno and Boston place the role in active innovation ecosystems, beneficial for talent acquisition and professional networking.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will likely review applications and conduct an initial screening call to assess basic qualifications and cultural fit.
• Technical/Research Interview(s): Expect one or more interviews focused on behavioral science principles, UX research methodologies, experimental design experience, and data analysis skills. This may involve discussions about past projects and hypothetical scenarios.
• Portfolio Review: A dedicated session where you will present your portfolio, detailing 1-2 key projects that showcase your ability to design and execute behavioral research, analyze data, and translate findings into actionable product recommendations. Be prepared to discuss your process, challenges, and impact.
• Cross-Functional Interview(s): Interviews with potential team members, such as Product Managers, UX Designers, or Engineers, to assess collaboration style, communication effectiveness, and ability to integrate research into product development.
• Hiring Manager/Leadership Interview: A final interview with the hiring manager or a senior leader to discuss strategic alignment, career aspirations, and overall fit with Verily's mission and culture.

Portfolio Review Tips:

• Focus on Impact: Clearly articulate the problem, your approach, the results, and the impact of your work on the product or user behavior. Quantify outcomes whenever possible.
• Showcase Process: Detail your research process, from problem definition and hypothesis generation to data collection, analysis, and recommendation. Highlight how you adapted your approach based on findings.
• Demonstrate Behavioral Science Application: Explicitly explain how you applied behavioral science principles and how your experimental designs (e.g., A/B tests, RCTs) were used to test hypotheses.
• Highlight Collaboration: Illustrate how you partnered with cross-functional teams, managed stakeholder expectations, and communicated insights effectively.
• Tailor to Verily: Understand Verily's mission and products (e.g., Verily Me, Lightpath). Frame your examples to show how your skills could contribute to their goals in health technology and behavior change.

Challenge Preparation:

• Hypothetical Research Design: Be prepared to outline how you would approach a research question related to Verily's products, including methodology, target users, and metrics for success.
• Data Interpretation: Practice interpreting hypothetical qualitative and quantitative data sets and articulating actionable recommendations.
• Behavioral Intervention Design: Consider how you would design an intervention to encourage a specific health behavior (e.g., increased physical activity, better adherence to medication) using behavioral science principles.

📝 Enhancement Note: The "Application & Portfolio Review Process" section is crucial for operations roles where demonstrating practical application of skills is key. For this Behavioral Science UX Researcher role, the portfolio is not just a resume supplement but a primary assessment tool. The emphasis on "translating complex findings directly into actionable product features and AI-driven interventions" means interviewers will be looking for evidence of this translation in your portfolio. Preparing to discuss how your research influences product strategy and drives measurable outcomes is paramount.

🛠 Tools & Technology Stack

Primary Tools:

• Behavioral Science Frameworks: Familiarity and experience with implementing frameworks such as COM-B, EAST (Easy, Attractive, Social, Timely), Fogg Behavior Model, Nudge Theory, etc.
• User Research Platforms: Experience with tools like Dscout, Qualtrics, UserTesting.com, SurveyMonkey, or similar platforms for qualitative and quantitative data collection.
• Data Analysis Software: Proficiency in statistical software (e.g., R, SPSS, Python with libraries like Pandas, NumPy, SciPy) for analyzing quantitative data, and qualitative analysis tools (e.g., NVivo, Dovetail) for synthesizing qualitative insights.
• Collaboration & Project Management: Tools like Google Workspace (Docs, Sheets, Slides), Asana, Jira, or Trello for managing projects and collaborating with cross-functional teams.

Analytics & Reporting:

• A/B Testing & Experimentation Platforms: Experience with tools that facilitate A/B testing and other controlled experiments (e.g., Optimizely, Google Optimize, VWO, or internal experimentation platforms).
• Data Visualization Tools: Ability to create clear and compelling visualizations using tools like Tableau, Looker, or Python libraries (e.g., Matplotlib, Seaborn) to communicate findings to stakeholders.
• Product Analytics Tools: Familiarity with product analytics platforms like Google Analytics, Mixpanel, or Amplitude to track user behavior and measure the impact of interventions.

CRM & Automation:

• While not a core CRM role, understanding how user data is managed within a CRM or user data platform (CDP) can be beneficial for context.
• Experience with workflow automation tools could be advantageous for streamlining research processes or implementing interventions.

📝 Enhancement Note: The "Tools & Technology Stack" section is vital for operations roles, as proficiency with specific tools directly impacts efficiency and effectiveness. For this role, the emphasis is on research and experimentation tools. Experience with "A/B tests and Randomized Control Trials (RCTs)" implies a need for familiarity with experimentation platforms or statistical software capable of handling such designs. The mention of "AI model development is preferred" also suggests an openness to or experience with more advanced data science tools and methodologies.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decisions: A strong emphasis on using empirical evidence and rigorous analysis to guide product development and strategy.
• User-Centricity: A commitment to deeply understanding user needs, motivations, and behaviors to create impactful solutions.
• Scientific Rigor: Adherence to sound scientific principles in research design, execution, and interpretation.
• Collaboration & Cross-Functional Partnership: Valuing teamwork and effective communication across diverse disciplines (research, design, product, engineering).
• Innovation & Iteration: A culture that encourages experimentation, learning from failures, and continuous improvement.
• Impact & Purpose: A shared drive to improve health outcomes and make a meaningful difference in people's lives.

Collaboration Style:

• Integrated Teams: Researchers are expected to be embedded within product teams, working closely with designers and product managers throughout the development cycle.
• Evidence-Based Communication: Insights and recommendations are presented with clear data and logical reasoning, fostering trust and enabling informed decision-making.
• Constructive Feedback: An environment where feedback is openly shared and received to refine research approaches and product designs.
• Knowledge Sharing: Opportunities to share learnings and best practices within the research community and with broader product teams.

📝 Enhancement Note: Verily's culture, as an Alphabet subsidiary, likely fosters a blend of scientific inquiry and agile product development. For operations professionals, this means a focus on measurable results, efficient processes, and data integrity. The emphasis on "behavioral science" and "experimental designs" points to a culture that values rigorous, evidence-based approaches to problem-solving, which is a hallmark of effective operations. Collaboration is key, as research insights must be integrated into product strategy and execution to drive GTM success.

⚡ Challenges & Growth Opportunities

Challenges:

• Translating Complex Science into Actionable Product Features: Bridging the gap between academic behavioral science principles and practical, scalable product implementations can be challenging.
• Measuring Long-Term Behavior Change: Designing studies and interventions that effectively measure and influence sustained health behavior change requires sophisticated methodologies and patience.
• Navigating a Fast-Paced Product Environment: Balancing the need for rigorous research with the demands of agile product development and tight deadlines.
• Cross-Functional Alignment: Ensuring that research insights are understood, adopted, and effectively implemented by diverse teams with varying priorities and technical backgrounds.
• Ethical Considerations in Health Data: Working with sensitive health information requires a strong understanding of privacy, ethics, and regulatory compliance.

Learning & Development Opportunities:

• Advanced Behavioral Science Training: Access to internal and external workshops, courses, and conferences focused on cutting-edge behavioral science research and applications.
• Methodological Skill Expansion: Opportunities to learn and apply new research techniques, experimental designs (e.g., causal inference, longitudinal studies), and data analysis methods.
• Product Strategy Influence: Developing expertise in how research directly impacts product roadmaps, business strategy, and go-to-market initiatives.
• Mentorship: Potential to be mentored by senior researchers or leaders within Verily and the broader Alphabet ecosystem.
• Industry Exposure: Engaging with leaders and innovators in the health tech and behavioral science fields through company events and professional networks.

📝 Enhancement Note: The "Challenges" section highlights operational hurdles that require strategic thinking and process optimization. For example, "Translating Complex Science into Actionable Product Features" involves building robust processes for knowledge transfer and integration. "Measuring Long-Term Behavior Change" requires sophisticated data operations and analytics capabilities. Growth opportunities in "Product Strategy Influence" and "Methodological Skill Expansion" are directly relevant to career progression within operations, moving towards strategic decision-making and advanced analytical capabilities.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you translated a complex behavioral science principle into a concrete product feature or intervention. What was the outcome?" (Focus on your process, the specific principle, how you tested it, and measurable results.)
• "How would you design an experiment to test whether a new feature on Verily Me encourages users to track their health data more consistently? What metrics would you use?" (Demonstrate your understanding of experimental design, A/B testing, and defining key performance indicators (KPIs) relevant to user engagement.)
• "Imagine a user is struggling to adhere to a health recommendation. What behavioral science frameworks might you use to understand their barriers, and how would you propose to address them through product design?" (Showcase your knowledge of behavioral models and your ability to ideate solutions.)

Company & Culture Questions:

• "What interests you about Verily's mission to improve health outcomes, and how do you see behavioral science playing a role in that?" (Connect your passion for behavioral science with Verily's purpose.)
• "How do you approach collaborating with product managers and designers who may have different priorities or levels of understanding of research findings?" (Highlight your communication, influence, and stakeholder management skills.)
• "Describe a situation where your research findings challenged existing product assumptions or team beliefs. How did you communicate your findings and drive consensus?" (Show your ability to present data persuasively and navigate team dynamics.)

Portfolio Presentation Strategy:

• Structure for Impact: For each portfolio piece, clearly articulate: 1) the problem/opportunity, 2) your research approach and methodology (highlighting behavioral science principles and experimental design), 3) key findings, 4) actionable recommendations, and 5) the measurable impact or outcome.
• Quantify Results: Wherever possible, use numbers and data to demonstrate the success of your interventions or the impact of your research. For example, "Increased user engagement by 15%" or "Reduced task completion time by 20%."
• Explain Your Role: Be clear about your specific contributions, especially if it was a team project.
• Be Ready for Deep Dives: Anticipate questions about your methodology, data analysis, and any challenges encountered. Be prepared to discuss alternative approaches you considered.

📝 Enhancement Note: Interview preparation for an operations role like this requires demonstrating not just research skills but also the ability to operationalize those skills into tangible product improvements that drive business value. "Translating complex findings directly into actionable product features and AI-driven interventions" is the core operational mandate. Your interview answers and portfolio presentation should explicitly link your research to product strategy, user adoption, and measurable outcomes.

📌 Application Steps

To apply for this Behavioral Science UX Researcher position:

• Submit your application through the provided link on Verily's careers portal.
• Curate Your Portfolio for Impact: Select 1-2 key projects that best demonstrate your experience in applying behavioral science to product development, designing rigorous experiments (A/B tests, RCTs), and translating findings into actionable product features that drive measurable user behavior change. Ensure your portfolio clearly articulates the problem, your process, the results, and the impact, quantifying outcomes whenever possible.
• Tailor Your Resume: Highlight keywords and experiences directly related to behavioral science research, UX research, experimental design, data analysis, and cross-functional collaboration. Emphasize achievements that showcase your ability to influence product strategy and drive user engagement or behavior change.
• Prepare for Behavioral & Situational Questions: Practice articulating your research process, explaining complex behavioral concepts simply, and detailing how you would approach hypothetical research scenarios relevant to Verily's consumer products. Be ready to discuss your experience with collaboration and driving consensus.
• Research Verily's Products and Mission: Familiarize yourself with Verily Me, Lightpath, and the company's overall goal of precision health. Think about how behavioral science can uniquely contribute to these initiatives. Understand their data-driven approach and commitment to scientific rigor.

⚠️ Important Notice: This enhanced job description provides insights based on industry standards and the provided job details. Candidates are strongly encouraged to verify specific details regarding compensation, benefits, and the interview process directly with Verily's recruitment team. The remote status is listed as "On-site" based on the provided data, but hybrid flexibility may exist and should be confirmed.