Senior Research Scientist

Storm3; Washington (District of Columbia); On-site; USD 120,000 - 180,000; Full time

Job summary

Storm3 seeks a Senior Research Scientist to lead quantitative research and AI-driven analytics for a national youth mental health initiative in the United States. You will design rigorous statistical analyses, develop measurement frameworks, and collaborate with Product and Engineering to deliver scalable analytics on modern data platforms.

Ideal candidates hold a PhD or equivalent with 5+ years of experience and have expertise in behavioral data, causal inference, and GenAI applications in

Qualifications

• 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.

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.

Skills

Quantitative research

Statistical modeling

Behavioral data

GenAI / LLMs

Education

PhD or equivalent (quantitative)

Tools

Python

R

Job description

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