Staff Behavioral Data Scientist, Evidence Translation

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The Company Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is managed. To unlock information and insights that drive better health outcomes. Here we are 25 years later, having pioneered an industry. And we're just getting started. We are broadening our vision beyond diabetes to empower people to take control of health. That means personalized, actionable insights aimed at solving important health challenges. To continue what we've started: Improving human health. We are driven by thousands of ambitious, passionate people worldwide who are willing to fight like warriors to earn the trust of our customers by listening, serving with integrity, thinking big, and being dependable. We've already changed millions of lives and we're ready to change millions more. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions. We'll get there by constantly reinventing unique biosensing-technology experiences. Though we've come a long way from our small company days, our dreams are bigger than ever. The opportunity to improve health on a global scale stands before us. Meet the team: Welcome to Dexcom's Behavioral Science team - a multidisciplinary group applying behavioral science, qualitative research, and data-driven insights to shape product strategy, clinical evidence, and patient-centered innovation. Within Behavioral Science, the Rapid Evidence and Translation (REAT) synthesizes published evidence to support strategic and commercial decision‑making and translates insights into decision‑ready outputs for product and service functions across the organization. We are seeking a PhD-level Data Scientist with deep behavioral science expertise to join the Behavioral Science team. This role will sit at the intersection of behavioral research, evidence synthesis, data analytics, and cross-functional business strategy. The ideal candidate will help synthesize and translate behavioral and psychosocial evidence into actionable insights that inform product development, clinical strategy, claims generation, customer education, and broader organizational decision-making. This individual will conduct rapid evidence reviews to answer priority business questions, partner with BeSci data teams to translate behavioral insights into measurable outcomes and support the development of evidence-based claims. This is a highly cross-functional role requiring scientific rigor, strong analytical thinking, excellent communication skills, and the ability to convert complex behavioral science concepts into clear, practical recommendations for internal stakeholders. Where you come in: Evidence Reviews and Strategic Insight Generation: Lead and support rapid evidence reviews to answer high-priority business questions. Synthesize published literature, real-world evidence, internal research findings, and behavioral science frameworks into clear, business-relevant insights. Translate complex behavioral, psychosocial, and clinical evidence into practical recommendations for cross-functional stakeholders. Identify evidence gaps and recommend opportunities for future research, analysis, or claims development Behavioral Data Science and Analytics Translation: Work closely with Behavioral Science data teams to translate behavioral insights into measurable data strategies. Support the development of behavioral metrics, taxonomies, and analytic frameworks that help characterize user engagement, behavior change, product experience, and psychosocial outcomes. Help define meaningful behavioral outcomes and data signals that can be used across cross-functional initiatives. Contribute to the development of dashboards, insight repositories, and internal tools that make behavioral evidence more accessible and actionable. Claims and Evidence Translation: Support the generation of evidence-based claims related to behavioral outcomes, psychosocial value, user engagement, self-management, confidence, satisfaction, and behavior change. Evaluate the strength of available evidence and help determine whether findings are suitable for internal positioning, external communication, or formal claims development. What makes you successful: Experience conducting literature reviews, rapid evidence reviews, systematic or targeted evidence syntheses, or evidence-based strategy work. Strong understanding of behavioral science theories, behavior change frameworks, psychosocial outcomes, and patient/user experience research. Experience working with quantitative and/or mixed-methods data, including survey data, patient-reported outcomes, real-world data, product engagement data, or behavioral analytics. Ability to translate scientific evidence into actionable recommendations for business, product, clinical, or commercial stakeholders. Strong written and ver