UX Researcher, Quantitative

📍 Job Overview

Job Title: UX Researcher, Quantitative

Company: Prenuvo

Location: Remote, USA

Job Type: Full-Time

Category: Operations Research / Data Analytics / User Experience Operations

Date Posted: April 16, 2026

Experience Level: Mid-Level (2-5 years)

Remote Status: Fully Remote

🚀 Role Summary

• Drive evidence-based understanding of the patient journey through rigorous quantitative UX research.

• Partner closely with Product, UX, and Operations teams to define key metrics and model customer lifecycle patterns.

• Evaluate design and workflow decisions using defensible quantitative methods to identify and mitigate points of friction.

• Focus on enhancing patient engagement, improving follow-through on critical tasks, and ensuring long-term trust and clarity in the patient experience.

• Translate complex data into actionable insights that inform product and operational improvements.

📝 Enhancement Note: This role is positioned as the first Quantitative UX Researcher, indicating a foundational need to establish robust data-driven methodologies for understanding and optimizing the patient experience. The emphasis on partnering with 'Operations' suggests a strong cross-functional component, requiring the candidate to bridge the gap between user behavior insights and operational efficiency.

📈 Primary Responsibilities

• Identify and model key bottlenecks across the entire patient journey, including commitment, preparation, task completion, results engagement, and return behavior, using quantitative analysis.

• Instrument and analyze drop-off points within high-stakes patient workflows to surface friction impacting timely completion and follow-through, providing data-backed recommendations for improvement.

• Conduct exploratory and descriptive analyses on patient, product, and clinical data to establish baselines, identify distributions, and uncover patterns in user behavior and system performance.

• Develop and apply statistical analyses and models to understand predictors of patient completion, engagement, and downstream health outcomes.

• Design and analyze experiments (A/B testing, multivariate testing) to improve key workflows, balancing measurable lift with long-term patient trust and clarity.

• Plan and evaluate structured usability studies, integrating quantitative measures of task success and friction within critical patient experiences.

• Create, craft, and compose surveys and targeted discovery work to uncover the underlying drivers behind observed behavioral patterns.

• Critically interrogate research findings, ensuring conclusions are methodologically sound, statistically valid, and directly actionable for product and operations teams.

• Build and maintain dashboards that track leading and lagging indicators across key patient experience touchpoints, facilitating ongoing monitoring and decision-making.

• Own a monthly UX metrics reporting cadence, highlighting meaningful shifts, emerging risks, and the impact of implemented improvements.

• Identify gaps in user event tracking and instrumentation, partnering with Engineering and Operations to improve lifecycle tracking and ensure data integrity.

• Quantify the business and operational impact of experience and workflow changes, providing clear ROI on research initiatives.

• Partner cross-functionally to convert research insights into concrete product and operational improvements, contributing to a culture of continuous optimization.

• Contribute to documentation, research repositories, and standards that support scaling future research efforts and institutional knowledge.

📝 Enhancement Note: The responsibilities clearly indicate a need for strong analytical skills combined with the ability to translate those findings into tangible improvements within both product development and operational processes. The role requires a proactive approach to instrumentation and data integrity, highlighting its foundational nature within the company.

🎓 Skills & Qualifications

Education: Bachelor's or Master's degree in Psychology, Human-Computer Interaction (HCI), Statistics, Computer Science, Behavioral Economics, or a related quantitative field.

Experience: 3–5 years of experience in quantitative UX research, product research, behavioral science, or a similar analytical role within a digital product environment.

Required Skills:

• Strong foundation in statistics and experimental design, with hands-on experience modeling and improving key user lifecycle metrics such as activation, completion, retention, or engagement.

• Fluency in SQL for querying large datasets, and proficiency in statistical programming languages such as Python or R for data analysis, modeling, and visualization.

• Demonstrated ability to independently analyze raw lifecycle and event-level data to derive actionable insights.

• Proven experience designing and interpreting experiments (e.g., A/B tests) in live product environments to drive measurable improvements.

• Experience extracting actionable insights from survey data, Net Promoter Score (NPS) data, and integrating attitudinal signals with observed behavioral data.

• Experience building dashboards or developing recurring reports that effectively inform product and operational decision-making.

Preferred Skills:

• Familiarity with AI-enabled research or analytics workflows, and sound judgment regarding the appropriate application of automation to strengthen research rigor.

• Experience in the healthcare or medical technology industry, understanding the unique nuances of patient journeys and clinical data.

• Experience with specific event tracking platforms (e.g., Amplitude, Mixpanel, Google Analytics) and dashboarding tools (e.g., Tableau, Looker, Power BI).

• Understanding of qualitative research methodologies to complement quantitative findings.

📝 Enhancement Note: The emphasis on SQL, Python/R, and experimental design points to a need for a candidate who can operate as an individual contributor and a data scientist within the UX function. The "3-5 years" suggests a mid-level role, where the individual is expected to be largely autonomous in their analytical tasks and experimental design.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate a strong ability to define key performance indicators (KPIs) and operational metrics relevant to the patient journey and user engagement.

• Showcase case studies where you have identified critical friction points in a user workflow and proposed/implemented data-driven solutions.

• Provide examples of experiments you designed and analyzed, clearly articulating hypotheses, methodologies, results, and the impact on key metrics.

• Include examples of data visualizations or dashboards created to track user behavior, system performance, or UX metrics, highlighting how they informed decisions.

Process Documentation:

• Showcase experience in instrumenting products or workflows to collect relevant user event data, including defining event schemas and tracking requirements.

• Provide examples of your process for translating ambiguous user experience challenges into clear, testable quantitative hypotheses.

• Illustrate your approach to designing and analyzing controlled experiments (e.g., A/B tests) to validate hypotheses and measure the impact of changes.

• Detail your methods for creating and maintaining dashboards and recurring reports to monitor key UX and operational metrics over time.

📝 Enhancement Note: The portfolio requirements are heavily weighted towards demonstrating quantitative analysis, experimental design, and the ability to translate data into actionable product and operational improvements. Applicants should prepare to showcase specific projects that highlight these skills.

💵 Compensation & Benefits

Salary Range: $110,000 - $135,000 USD per year, depending upon experience and geographic location.

Benefits:

• Free, company-provided whole-body scans for team members.

• Flexible vacation policy encouraging ample time off for restoration and well-being.

• Prenuvo’s Commuter Benefits Plan to help cover transit and parking costs.

• 401(k) retirement savings plan for eligible employees (Note: Prenuvo does not currently offer matching contributions).

• Comprehensive benefits package including:

  • Health insurance
  • Dental insurance
  • Vision insurance
  • Mental Health coverage

• Support for professional development and growth opportunities.

Working Hours: Standard full-time hours, with an expectation of approximately 40 hours per week. The remote nature and flexible vacation policy may offer some degree of schedule flexibility, but core collaboration hours will likely be expected.

📝 Enhancement Note: The salary range provided is a key piece of information. For a remote role within the USA, this range is generally competitive for a mid-level Quantitative UX Researcher. The benefits package is robust, with unique offerings like free scans and a flexible vacation policy, which can be attractive to candidates.

🎯 Team & Company Context

🏢 Company Culture

Industry: Healthcare Technology / Medical Diagnostics. Prenuvo is a leader in proactive healthcare, utilizing advanced MRI technology for comprehensive, preventative health screenings.

Company Size: The job description doesn't explicitly state company size, but the role of "first Quantitative UX Researcher" suggests a growing company that is professionalizing its data and user experience functions. Prenuvo's mission implies a scale-up or established growth-stage environment.

Founded: Prenuvo was founded with a mission to shift healthcare from reactive to proactive. The company's focus on cutting-edge technology, AI, and patient-centric experience highlights a forward-thinking and innovative culture.

Team Structure:

• The Quantitative UX Researcher will be a foundational member of the UX Research team, likely reporting to a Head of UX or Product.

• Close collaboration is expected with UX Designers, Product Managers, Data Scientists, Engineers, and Operations teams.

Methodology:

• Data-Driven Decision Making: Emphasis on rigorous, evidence-based understanding derived from quantitative data.

• Proactive Healthcare: A core philosophy that permeates product development and patient engagement strategies.

• User-Centricity: Deep focus on the patient journey, identifying and mitigating friction points to improve experience and outcomes.

• Continuous Improvement: Utilizing experimentation and analysis to iterate on product features and operational workflows.

• Platform Building: A mindset of developing scalable foundations for future growth and innovation.

Company Website: https://prenuvo.com/

📝 Enhancement Note: The company's mission to revolutionize healthcare through proactive screening is a significant cultural driver. The "Platform-Builders" value suggests a company focused on long-term growth and scalable solutions, which will likely influence the types of projects and strategic thinking expected from this role.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Level Quantitative UX Researcher, likely with 2-5 years of experience needed. It is the "first" of its kind, offering an opportunity to build and shape the function. This implies a high degree of autonomy and the potential to influence future research strategies and team growth.

Reporting Structure: The role will likely report into a Product or UX leadership position. The close collaboration with Operations means the insights generated will directly impact operational efficiency and patient throughput.

Operations Impact: The Quantitative UX Researcher will have a direct impact on improving the patient journey, which in turn affects patient retention, engagement, operational efficiency, and ultimately, the company's ability to scale its proactive healthcare model. Quantifying the impact of experience improvements will be a key measure of success.

Growth Opportunities:

• Leadership in Quantitative UX: Opportunity to build and lead the quantitative UX research function as the company grows, potentially managing a team in the future.

• Skill Specialization: Deepen expertise in statistical modeling, experimental design, and specific areas of user behavior analysis within the healthcare tech domain.

• Cross-Functional Leadership: Develop strong partnerships with Product, Engineering, and Operations, gaining a broader understanding of business drivers and contributing to strategic initiatives.

• Industry Impact: Contribute to shaping the future of proactive healthcare by improving patient access and experience with cutting-edge diagnostic technology.

📝 Enhancement Note: As the inaugural Quantitative UX Researcher, this role offers significant opportunities for influence and career advancement. Candidates should highlight their ability to establish processes and drive strategic initiatives, not just execute research tasks.

🌐 Work Environment

Office Type: Fully Remote. This indicates a distributed workforce, requiring strong asynchronous communication skills and self-discipline.

Office Location(s): Remote within the United States. This allows access to a broad talent pool and requires the candidate to be comfortable working independently from their home office.

Workspace Context:

• Digital Collaboration: Heavy reliance on virtual collaboration tools (e.g., Slack, Zoom, Google Workspace) for communication, meetings, and project management.

• Data-Centric Tools: Access to and utilization of advanced data analysis tools, SQL databases, and potentially BI platforms for research and reporting.

• Cross-Functional Interaction: Frequent engagement with product managers, designers, engineers, and operations stakeholders through virtual channels.

Work Schedule: Standard full-time work week (approximately 40 hours). While remote work offers flexibility, the need to collaborate with teams across different time zones within the US and to meet reporting deadlines will require a structured approach to time management.

📝 Enhancement Note: For a remote role, candidates should emphasize their experience with remote collaboration tools, asynchronous communication, and their ability to maintain productivity and engagement without direct in-person supervision.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A conversation with a recruiter to assess basic qualifications, role understanding, and cultural fit.

• Hiring Manager Interview: In-depth discussion with the hiring manager (likely Head of UX or similar) focusing on experience, skills, and alignment with the role's responsibilities. This may involve a deeper dive into past projects.

• Technical/Portfolio Review: A session dedicated to reviewing the candidate's portfolio. This will likely involve presenting 1-2 key quantitative UX research case studies, focusing on methodology, data analysis, experimental design, and impact. Expect detailed questions about your process and findings.

• Cross-Functional Interview(s): Interviews with key stakeholders from Product, Engineering, or Operations to assess collaboration skills, ability to translate insights into actionable recommendations, and understanding of their respective domains.

• Final Interview: Potentially a conversation with a senior leader to discuss strategic alignment, long-term vision for the role, and final cultural fit.

Portfolio Review Tips:

• Focus on Quantitative Impact: Select case studies that clearly demonstrate your ability to use quantitative methods to solve complex user experience or operational problems.

• Showcase Methodology: Clearly articulate your hypotheses, data sources, analytical techniques (SQL, Python/R, statistical tests), experimental design, and how you ensured methodological rigor.

• Quantify Outcomes: For each project, present the measurable impact of your work. Use metrics, dashboards, and ROI calculations where possible to demonstrate the value you delivered.

• Highlight Collaboration: Be prepared to discuss how you partnered with product, design, engineering, and operations teams to implement insights and drive change.

• Address Challenges: Be ready to discuss challenges encountered, how you overcame them, and what you learned.

• Tailor to Prenuvo: If possible, subtly align your examples with Prenuvo's mission in proactive healthcare and patient journey optimization.

Challenge Preparation:

• Data Interpretation Exercise: Be prepared for a take-home assignment or live exercise involving analyzing a dataset, interpreting results, and providing recommendations. This could involve identifying user drop-off points or evaluating the impact of a feature.

• Experimental Design Scenario: You might be asked to propose an experimental design to test a specific hypothesis related to the patient journey or user engagement.

• Metrics Definition: Be ready to discuss how you would define and track key metrics for a specific aspect of the patient experience.

• Communication Skills: Practice articulating complex quantitative findings clearly and concisely to both technical and non-technical audiences.

📝 Enhancement Note: The emphasis on a "first Quantitative UX Researcher" role means the interview process will likely scrutinize the candidate's ability to build processes and define metrics, not just execute existing ones. Portfolio presentations should highlight this strategic capability.

🛠 Tools & Technology Stack

Primary Tools:

• Statistical Programming: Python (with libraries like Pandas, NumPy, SciPy, Statsmodels) and/or R (with libraries like dplyr, ggplot2, lme4).

• Database Querying: SQL is a mandatory requirement for data extraction and manipulation.

• Data Analysis & Visualization: Tools to process, analyze, and visualize data. This may include Python/R libraries, or dedicated BI tools.

Analytics & Reporting:

• Event Tracking Platforms: Experience with platforms like Amplitude, Mixpanel, Google Analytics (GA4), or similar tools for tracking user interactions and events.

• Dashboarding & BI Tools: Proficiency in building dashboards using tools such as Tableau, Looker, Power BI, or even programmatic solutions in Python/R (e.g., Dash, Shiny) to present key metrics and insights.

• Survey & NPS Tools: Experience with platforms for designing and analyzing surveys, including tools for NPS data collection and analysis.

CRM & Automation:

• While not primary for this role, understanding how CRM data (e.g., Salesforce) or marketing automation platforms might integrate with user behavior data could be beneficial for a holistic view.

📝 Enhancement Note: The core technical requirements are SQL and Python/R for data analysis, coupled with experience in event tracking and dashboarding. This indicates the need for a candidate who can be hands-on with data from raw events to actionable dashboards.

👥 Team Culture & Values

Operations Values:

• Pioneers: Embrace divergent thinking, a bias for action, disciplined experimentation, and grit to drive momentum in transforming healthcare.

• Platform-Builders: Focus on building scalable foundations for future success, with a mindset of ownership and duty to the mission.

• Patients First: A deep commitment to the well-being and clarity of patients, recognizing the profound impact of the work.

• Data-Driven: A strong emphasis on evidence-based insights and robust quantitative analysis to guide decisions.

• Collaboration: A culture that values cross-functional teamwork to achieve mission-critical goals.

Collaboration Style:

• Cross-Functional Integration: The role requires seamless collaboration with Product, UX Design, Engineering, and Operations to ensure research insights are understood and acted upon.

• Data-Informed Discussions: Contributions to team discussions will be grounded in quantitative evidence and analytical rigor.

• Shared Ownership: A culture where teams collectively own the patient experience and work towards common goals, fostering a sense of shared responsibility for outcomes.

📝 Enhancement Note: The company values are clearly articulated and emphasize innovation, ownership, patient focus, and data-driven approaches. Candidates should demonstrate how their work ethic and approach align with these core values.

⚡ Challenges & Growth Opportunities

Challenges:

• Establishing Quantitative Frameworks: As the first Quantitative UX Researcher, a primary challenge will be defining and implementing the foundational processes, metrics, and instrumentation for quantitative UX research at Prenuvo.

• Data Complexity & Integrity: Navigating and ensuring the integrity of complex patient and operational data from various sources to derive meaningful insights.

• Balancing Rigor and Speed: A healthcare context often demands high rigor, while a fast-paced tech environment requires agility. Balancing these can be a significant challenge.

• Translating Insights into Action: Ensuring that research findings are effectively communicated and adopted by product and operations teams to drive meaningful change.

Learning & Development Opportunities:

• Foundational Role: Opportunity to build a new function from the ground up, setting standards and defining best practices.

• Industry Expertise: Gain deep knowledge in healthcare technology, preventative medicine, and the unique user experience challenges within this domain.

• Advanced Analytics: Opportunity to refine and expand expertise in statistical modeling, experimental design, and AI-driven research techniques.

• Cross-Functional Impact: Develop a broad understanding of business operations and product strategy through close collaboration with diverse teams.

📝 Enhancement Note: The challenges are inherent to a foundational role, offering significant growth potential for a candidate who thrives in building and establishing processes.

💡 Interview Preparation

Strategy Questions:

• "How would you approach defining and instrumenting key metrics for the Prenuvo patient journey, starting from scratch?"

• "Describe a time you identified a critical friction point in a user workflow using quantitative data. What was your process, and what was the impact of your findings?"

• "Imagine we want to increase patient follow-through on post-scan recommendations. What data would you look at, what experiments would you design, and what KPIs would you track?"

• "How do you balance the need for statistical rigor with the demands of a fast-paced product development cycle?"

Company & Culture Questions:

• "Based on our mission and values, how do you see your role contributing to Prenuvo's success?"

• "How would you ensure your work aligns with our 'Patients First' value?"

• "Describe your experience working in a 'platform-building' environment. What does that mean to you?"

Portfolio Presentation Strategy:

• Structure: For each case study, clearly outline the Problem, your Approach/Methodology, the Results, and the Impact (Action/Outcome).

• Data Storytelling: Focus on telling a compelling story with your data. Explain the narrative behind the numbers and the human element of the patient experience.

• Visual Aids: Use clear and concise visuals (charts, graphs, dashboards) to illustrate your findings and methodology. Avoid overly complex or cluttered visuals.

• Quantify Everything: Be prepared to discuss the specific metrics you influenced and the measurable impact of your work. If possible, present ROI or business value.

• Be Ready for Deep Dives: Anticipate questions about your statistical methods, assumptions, limitations, and alternative approaches.

📝 Enhancement Note: Candidates should be prepared to demonstrate not just analytical skills, but also strategic thinking, process-building capabilities, and a clear understanding of how quantitative research drives business outcomes in a healthcare context.

📌 Application Steps

To apply for this Quantitative UX Researcher position:

• Submit your application through the provided link on Careerpuck.

• Portfolio Customization: Curate your portfolio to prominently feature 1-2 quantitative UX research case studies that best demonstrate your ability to define metrics, analyze complex data, design experiments, and drive measurable impact on user journeys or operational efficiency. Tailor your presentation to highlight your experience in building foundational research processes if possible.

• Resume Optimization: Ensure your resume clearly highlights your proficiency in SQL, Python/R, statistical analysis, experimental design, and experience with event tracking and dashboarding tools. Quantify your achievements with specific metrics and outcomes.

• Interview Preparation: Practice articulating your methodologies, findings, and the business impact of your work. Be ready to discuss how you would approach building a quantitative UX research function from the ground up at Prenuvo. Prepare specific examples that align with Prenuvo's mission and values.

• Company Research: Thoroughly review Prenuvo's website, mission, values, and any recent news. Understand their proactive healthcare model and identify potential areas where quantitative UX research can drive significant improvement.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.