Behavioral Scientist

Location: Seattle or Remote (US)

Team: Product & Research

Type: Full-Time

At BluePill, we’re building AI-powered digital consumers — AI humans — modeled on real-world data and grounded in behavioral science. Our platform helps brands instantly test product concepts, marketing, and GTM ideas by simulating how real people think, feel, and behave.

We’ve raised $6M from top-tier investors (Ubiquity Ventures, Pioneer Square Labs, Flying Fish Ventures, and leaders from Amazon, Sequoia, and more) to build the future of consumer insights — where every brand has their customers “on speed dial.”

We’re looking for a Behavioral Scientist to help architect the cognitive backbone of our AI humans. This role sits at the intersection of behavioral science, data, psychology, and AI — translating how real consumers make decisions into frameworks that our models can replicate.

You will define what traits matter, how decisions should be modeled, which data signals predict behavior, and how we validate accuracy against human responses. You’ll work directly with the CEO, AI team, and customer insights teams to ensure every AI persona feels psychologically real and accurately predictive.

This is a foundational hire — shaping the scientific integrity, repeatability, and competitive moat of our product.

• Build frameworks for how different types of consumers make decisions (cognitive shortcuts, trade-offs, heuristics, biases, motivations).
• Translate human decision-making into computational models our AI can learn from.
• Define the psychological traits, values, and cognitive variables that shape consumer preferences.

• Define what data we should collect to construct high-fidelity digital twins (survey data, behavioral data, psychographics, attitudinal signals, choice-based models, etc.).
• Create mapping frameworks that connect real-world behavior → traits → model parameters.
• Work with AI engineers to encode traits, guardrails, and persona structures that mirror real human decision patterns.

• Develop scientific methods to evaluate how accurately AI humans match real human choices.
• Design experiments, benchmarks, and validation loops comparing synthetic vs. human panels.
• Establish standards for reliability, variance, and replicability of AI consumer insights.

• Stay on top of academic research across psychology, behavioral economics, cognitive science, and marketing science.
• Convert complex behavioral theory into actionable frameworks for product, engineering, and customer teams.
• Build documentation and internal models that become BluePill’s behavioral science “source of truth.”

• Translate brand research briefs into behavioral frameworks the AI can simulate.
• Guide customers in interpreting synthetic insights through a behavioral lens.
• Help shape new features that leverage behavioral science (e.g., motivation scores, persuasion profiles, cognitive segments).

• PhD or Master’s in Behavioral Science, Psychology, Behavioral Economics, Cognitive Science, Marketing Science, Decision Sciences, or related fields.
• Deep understanding of human decision-making, heuristics, biases, psychographic segmentation, and quantitative research.
• Experience modeling human behavior using frameworks like:
• Prospect theory
• Utility modeling
• Cognitive biases
• Behavioral segmentation
• Personality and trait modeling
• Motivation and identity frameworks

• Experience with survey design, MaxDiff, conjoint, or experimental design.
• Experience working with AI/ML teams or computational social science.
• Experience building consumer personas or complex segmentation models.
• Familiarity with large-scale human data (consumer, marketing, behavioral logs, etc.).

• Strong scientific rigor — but equally strong ability to translate science into simple, usable frameworks.
• Obsession with understanding why people do what they do.
• Highly collaborative with product, design, research, and engineering teams.
• Comfortable working in a fast-paced, ambiguity-heavy startup.

• Build the world’s first AI humans at scale — defining a category that will transform consumer insights.
• Shape core scientific frameworks that become the foundation of a multi-decade AI category.
• Huge ownership, low bureaucracy, meaningful equity.
• Direct impact: your work will influence every product decision and every customer interaction.