Real World Evidence Rwe Jobs in Highlands Ranch, CO

This role operates on a hybrid model, with a mix of remote work and in-office collaboration at our Denver, CO location, specifically, working in-office a minimum of 3 days per week.

We are unable to offer visa sponsorship at this time 

Portfolio required. We'll review your design work to confirm craft bar. What we're specifically evaluating is whether you can show us a moment where you established evidence for something previously assumed and how that changed the outcome. Candidates should be prepared to walk through this example in detail during interviews.

• Lead end-to-end design for your sprint team - discovery, flows, wireframes, prototypes, and detailed UI - with full ownership of your product area.
• Own curation and verification of the design corpus for your area: product knowledge, personas, service blueprints, and classification files, ensuring entries are evidence-backed rather than asserted.
• Know when to run a quick study and when to trust prior evidence - running qualitative or quantitative research when a decision genuinely needs it, and moving fast when it doesn't.
• Verify classification claims against actual evidence before work proceeds - holding the line on "known/known" status even under timeline pressure.
• Write corpus documentation for a dual audience: legible to teammates, and structured precisely enough for an AI agent to parse and classify against without ambiguity.
• Build, configure, and maintain AI-assisted workflow loops alongside your peers - and hold the line on research and verification as steps that don't get automated away.
• Review AI agent outputs that touch your area - classification decisions, briefs, spec verification - and flag drift between what the corpus says and what agents produce.
• Build and maintain design system components and patterns with the same craft bar as the rest of the team.
• Mentor peers on research methods and evidence standards as the corpus becomes a bigger part of how the team works.

• 5+ years designing complex, web-based application UIs (SaaS/B2B preferred), with demonstrated ownership of systems-level work - not just shipped screens, but decisions about component architecture, cross-feature consistency, or ambiguous problem spaces. Total years designing is necessary but not sufficient; we're looking for time spent at this level of complexity, not just time in the seat.
• A portfolio that includes at least one instance where you established evidence for something previously assumed - a classification, a persona, a stated user need - and can speak to how it changed the outcome. Research participation isn't enough; we want to see research that moved a decision.
• Strong instincts for when to run research vs. when existing evidence is sufficient - you've worked in sprint environments and know how to be rigorous without being slow.
• Design system creation and management, rapid prototyping, and systems-level design - able to build and maintain component-based systems and think at the level of reusable patterns, not one-off screens.
• Strong structured/technical writing - comfortable producing evidence-backed documentation with consistent taxonomy, since some of your writing will be consumed by AI systems as well as people.
• Technical fluency sufficient to build and maintain design agents - comfortable reading and working with HTML/CSS/React, participating in a Git-based workflow, and configuring LLM-driven workflows and agentic tooling as a first-class design responsibility, not a handoff. In this role, building is part of designing.
• Familiarity with accessibility standards (WCAG) and inclusive design practices.
• Demonstrated intellectual honesty under pressure - willing to flag an unverified assumption or push back on a premature conclusion even when it's inconvenient for timeline.

• Experience designing AI-powered product features - predictive workflows, generative interfaces, or human-in-the-loop patterns.
• Experience building or maintaining a structured knowledge base or content model intended for reuse by other systems, not just people.
• Experience designing for enterprise applications, CRM, or complex data-heavy workflows.
• Domain familiarity in B2B verticals (manufacturing, distribution, financial services).
• Bachelor's or Master's degree in UX Design, HCI, or a related field.