Responsibilities
* Analyze data from wearables, biomarkers, and patient-reported outcomes to uncover health trends and predictive signals
* Investigate how new sensors, APIs, and platforms are shaping the future of health tracking and diagnostics
* Build dynamic research briefs and data-backed playbooks that inform product, clinical, and strategy teams
* Use AI tools (e.g., LLMs, vector databases, clustering models) to find patterns, summarize findings, and explore edge cases in health datasets
* Evaluate and reverse-engineer how leading health apps structure their onboarding, feedback loops, and engagement models
* Conduct meta-research across clinical studies, wellness protocols, and consumer behaviors to identify high-leverage insights
* Create visual, high-signal documents (dashboards, timelines, comparisons) that cut through noise and clarify direction
* Share emerging trends early — not to react, but to position us ahead of the curve
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