Join an innovative AI healthtech building the behavioral intelligence layer for healthcare.

This company is creating a proprietary platform that helps healthcare organizations understand not just what people do, but why they do it. Combining behavioral science, population-scale data, and AI, they’re helping providers, payers, life sciences organizations, and public health leaders improve engagement, access, and outcomes.

Hiring for a technically strong Senior Research Scientist with expertise in quantitative research, statistical modeling, behavioral data, and AI-powered analytics to help build one of the most ambitious youth mental health initiatives in the United States.

Responsibilities:

• Lead the development of a national youth mental health and thriving dataset spanning multiple surveys and thousands of participants
• Design and execute rigorous statistical analyses, measurement frameworks, and research methodologies
• Build AI-driven tools that allow stakeholders to interact directly with behavioral and mental health data
• Partner closely with Product and Engineering teams to develop scalable analytics solutions on modern data platforms
• Publish peer-reviewed research and validation studies that establish scientific credibility and industry impact

Requirements:

• PhD or equivalent with 5+ years of end-to-end quantitative research experience
• Strong expertise in statistical methods, survey research, measurement, or causal inference
• Advanced proficiency in Python and/or R
• Experience applying LLMs and GenAI to analytics or research workflows

Why Apply:

• Help shape one of the most valuable youth mental health datasets in the US
• Opportunity to publish meaningful research with real-world impact
• Collaborate with world-class experts across healthcare, behavioral science, AI, and public health
• Join a mission-driven team using data and AI to improve health outcomes for millions of people