User Researcher, Consumer (Part-Time Contract)

About the Role

Maven is building a new direct-to-consumer business, and we're making decisions every week that should be informed by real user insight: how women think about GLP-1 care, what makes a virtual clinic feel trustworthy, where our funnel loses people and why. We are looking for a part-time user researcher to own research end to end for our consumer team.

This is a hands-on contract role for someone who can operate independently: you'll scope studies with product and design, recruit participants, run the research - either in-house or using a third party platform, and bring back insights the team actually uses. You'll also help us level up, shaping our tooling and research process as the team grows.

This is a part-time contract engagement of approximately 10-20 hours per week, for an initial 6-month term with intent to extend or expand for the right person. The role is fully remote and open to candidates anywhere in the US.

What You'll Do

• Partner with product and design to identify the questions worth answering and scope research that answers them
• Own the full study lifecycle: research plans, participant recruiting, moderation, analysis, and synthesis
• Run both qualitative and quantitative work, from user interviews and usability sessions to surveys, choosing the right method for each question
• Share insights in ways that travel: crisp readouts to the working team and digestible takeaways for the broader org
• Help define our research tooling and process, recommending what we should adopt, drop, or change

What You'll Bring

• 5+ years of user research experience, including consumer products
• True mixed-methods range: you've designed and fielded surveys with sound methodology and you're a skilled interviewer and moderator; you're familiar with AI-augmented methods and tools.
• A track record of running research end to end with minimal oversight, ideally as a contractor, consultant, or solo researcher
• Strong synthesis and communication: you turn messy data