Job Description:

• Identify and model key bottlenecks across the patient journey, including commitment, preparation, required task completion, results engagement, and return behavior.
• Instrument and analyze drop-off points in high-stakes workflows, surfacing friction that impacts timely completion and follow-through.
• Translate ambiguous experience challenges into clear, testable hypotheses.
• Conduct exploratory and descriptive analyses to establish baselines, distributions, and patterns across patient, product, and clinical data.
• Answer foundational questions about user behavior and system performance using raw event and operational data.
• Develop statistical analyses and models to understand predictors of completion, engagement, and downstream outcomes.
• Design and analyze experiments to improve key workflows while balancing measurable lift with long-term trust and clarity.
• Plan and evaluate structured usability studies to assess task success and friction in critical experiences.
• Create, craft, and compose surveys and targeted discovery work to uncover drivers behind observed patterns.
• Build and maintain dashboards that track leading and lagging indicators across key experience touchpoints.
• Own a monthly UX metrics reporting cadence that highlights meaningful shifts and emerging risks.
• Identify gaps in instrumentation and partner with Engineering and Operations to improve lifecycle tracking and data integrity.
• Quantify the impact of experience and workflow changes.
• Partner cross-functionally to convert insight into concrete product and operational improvements.
• Contribute to documentation, research repositories, and standards that support future growth

Requirements:

• 3–5 years of experience in quantitative UX research, product research, behavioral science, or a related analytical role in a digital product environment.
• Strong foundation in statistics and experimentation, with hands-on experience modeling and improving activation, completion, retention, or engagement.
• Fluency in SQL and proficiency in Python or R, with the ability to independently analyze raw lifecycle and event-level data.
• Experience designing and interpreting experiments in live product environments.
• Experience extracting actionable insight from survey and NPS data, and integrating attitudinal signals with observed behavior.
• Experience building dashboards or recurring reporting that informs product decisions.
• Familiarity with AI-enabled research or analytics workflows, and sound judgment about when automation strengthens versus weakens rigor.
• Clear communicator who can engage technical stakeholders on methodology while translating findings into actionable product and experience implications.

Benefits:

• An avenue to make a positive impact on people's lives and their health
• We believe in preventative healthcare for everyone, including our team - Prenuvo provides free, whole-body scans to each team member
• Growth opportunities are at the heart of our people journey, we’re doing big things with bright minds - there is no single path to success, it can be shaped along the way
• Building strong relationships is at the core of everything we do - our team gets together each week to connect, share, and socialize
• Recognizing time away to restore is vital to our wellbeing - we have a flexible vacation policy and we will encourage you to use it
• We now offer the Prenuvo’s Commuter Benefits Plan to help cover your transit and parking costs. Whether you ride, drive, or park, we’ve got you covered—making your commute easier and more affordable!
• Prenuvo offers a 401(k) retirement savings plan to eligible employees, allowing team members to make pre-tax contributions toward their retirement. While Prenuvo facilitates access to the plan, the company does not currently offer matching contributions.
• We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family