Research Associate

Responsibilities: Design and execute IRB protocols — Own prospective study protocols from design through IRB approval and enrollment launch; manage consent processes and patient enrollment for high-priority clinical research studies Build cross-functional research infrastructure — Partner with Clinical Operations, Product, and Data teams to create systems for identifying eligible patients, capturing consent, and triggering follow-up data collection Research writing — Draft white papers and conference abstracts; contribute to peer-reviewed publications; manage submission logistics. Manage research data and monitor study health — Pull, organize, and QC research datasets; maintain documentation standards and support data integrity for active studies; build and maintain dashboards to track enrollment, flag data quality issues, and monitor study progress We’d love to hear from you if: You've owned the operational execution of prospective clinical research — You know what it takes to stand up a study: building a protocol, navigating IRB approval, managing consent and enrollment, and maintaining data quality through follow-up. You've done this, not just supported it. You have a track record of research writing — You've authored conference abstracts and understand what rigorous research output requires; you can produce a clean, accurate draft efficiently. Manuscript writing experience is a plus. You're self-directed and fast-orienting — You get up to speed quickly in unfamiliar environments and start generating output without heavy hand-holding; comfortable moving forward before you have the full picture and course-correcting as you learn. You work well across functions, ideally in a digital health or health tech environment — You're comfortable driving projects forward in partnership with clinical, product, and data teams; you've had to translate research

requirements into operational asks for non-research stakeholders and understand how research connects to business and clinical goals. You're operationally data-fluent — You're comfortable working with real-world clinical data independently — pulling, organizing, and QC'ing datasets, and using data tools and emerging technologies, including AI, to build efficient workflows and monitor study progress. Basic statistical fluency is a plus. Education: Master's degree in a health-related field required; PhD also welcome. Strong Plusses: Background in nutrition, metabolic health, or cardiometabolic conditions — brings depth to study design, interpretation, and collaboration with clinical teams Clinical experience in a healthcare setting — brings familiarity with how care is delivered and how to work effectively with clinical teams Experience building research infrastructure in ambiguous, build-from-scratch environments — you've stood something up without a playbook before This is not a job for everyone. We hold an extremely high bar because we believe talent density is our biggest competitive advantage. We're looking for people who actively choose hard, ambiguous problems, who run toward unglamorous work, give and receive candid feedback, and bring relentless resilience without the ego. Our work is important, but we are not self-important. We do this because we’re solving one of the hardest problems in the world, and the problem matters. If that's you, we disproportionately reward it. More Information: The Nourish Bar Our Values Why Nourish Exists

How We Work Comp Philosophy

Benefits Please note that you must be legally authorized to work in the U.S. for this position.

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