Senior Applied Behavioral Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the development of the just-in-time adaptive intervention design system in collaboration with the AI Team.

• Design and maintain behavioral taxonomies, which encompass behavioral targets, barrier profiles, BCT mappings, intervention modalities, prompts, nudges, and delivery constraints.

• Convert BCTTv1, COM-B, and behavior-change evidence into machine-readable schemas and operational decision rules.

• Review and validate behavioral logic, algorithms, decision-rule performance, and the quality of evidence.

• Create the statistical and causal framework for the Learning Loop, which includes attribution, micro-randomization, off-policy evaluation, and individual-level effect estimation.

• Define engineering instrumentation, event logging, and data infrastructure needs.

• Design adaptive experiments utilizing Multi-Arm Bandits, Micro-Randomized Trials, and contextual exploration.

• Develop analytical infrastructure for N-of-1 self-experiments.

• Provide guidance on A/B testing, factorial designs, power, sample size, and randomization.

• Collaborate with AI/ML Engineers on the architecture for recommendation and intervention systems.

• Offer advice on measurement design, study methodology, and intervention evaluation.

• Work together with the Behavioral Analyst and act as an internal expert in BeSci methodology.

⛳️ Requirements

• A PhD in Behavioral Science, Health Psychology, Behavioral Medicine, Data Science, Machine Learning, or a closely related field is essential.

• Advanced training or practical experience in causal inference, reinforcement learning, or a related quantitative discipline is necessary.

• A strong publication record that integrates behavior-change theory with closed-loop system design is required.

• A minimum of 5 years in a senior behavioral science position that combines intervention design or taxonomy/framework development with causal-inference or quantitative research.

• Deep expertise in BCTTv1, COM-B, and associated behavior-change models.

• Proven expertise in causal inference, off-policy evaluation, and adaptive trial designs.

• Hands-on experience with Micro-Randomized Trials, Multi-Arm Bandits, and Reinforcement Learning algorithms.

• Experience in N-of-1 experimental designs, sequential decision-making, and within-person inference.

• Comfort working with small-n, high-frequency behavioral data.

• Ability to translate academic rigor into actionable, sprint-compatible deliverables.

• Established ability to collaborate with engineering and ML teams on knowledge representation, taxonomy design, structured data schemas, and data instrumentation.

• Excellent written and verbal communication skills, with the ability to compose methodology specifications, taxonomy specifications, and review memos.

• Experience in health tech, behavior-change platforms, or consumer wearable/connected-device industries is strongly preferred.

🏝️ Benefits

• 100% covered Medical/Dental/Vision insurances for employee AND spouse + dependents.

• 401K with a 4% employer match (eligible after 90 days of employment) and immediate 100% vesting.

• Generous PTO policy + paid holidays.

• Life Insurance.

• Voluntary Life Insurance.

• Disability Insurance.

• Critical Illness Coverage.

• Accident Insurance.

• Healthcare FSA.

• Dependent Care FSA.

• Travel Assistance Program.

• Employee Assistance Program (EAP).

• Fully stocked kitchen.

• Opportunity to publish.