Staff Behavioral Data Scientist, Evidence Translation

DexCom • San Diego, CA

2d • Remote

About The Position

Dexcom Corporation is a global leader in continuous glucose monitoring (CGM) technology, aiming to improve human health by empowering people to take control of their health through personalized, actionable insights. The Behavioral Science team, specifically the Rapid Evidence and Translation (REAT) group, synthesizes published evidence to support strategic and commercial decision-making and translates insights into actionable outputs for various organizational functions. This role is for a PhD-level Data Scientist with deep behavioral science expertise to join the Behavioral Science team. The position sits at the intersection of behavioral research, evidence synthesis, data analytics, and cross-functional business strategy. The individual will synthesize and translate behavioral and psychosocial evidence into actionable insights to inform product development, clinical strategy, claims generation, customer education, and organizational decision-making. Responsibilities include conducting rapid evidence reviews, partnering with BeSci data teams to translate behavioral insights into measurable outcomes, and supporting 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.

Requirements

• 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 verbal communication skills, including experience developing presentations, reports, or executive-facing summaries.
• PhD degree and 2 – 4 years of experience.

Responsibilities

• 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.
• 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.
• 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.

Benefits

• A full and comprehensive benefits program.
• Growth opportunities on a global scale.
• Access to career development through in-house learning programs and/or qualified tuition reimbursement.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree