Hiring: Sr. Applied Behavioral Scientist Company: VeSync Location: Tustin, CA Job Posted Time: 2026-09-13 10:46:22 Employment Type: Full-time Target Skills & Keywords : A/B Testing, Design System, Machine Learning, Reinforcement Learning, Systems Design About the job Experience: •5+ years in a senior behavioral science role that combines intervention design or taxonomy/framework development with causal-inference or quantitative research, ideally in health tech, digital health, or algorithmic decision-making (ADM) contexts. •Deep expertise in BCTTv1, COM-B, and related behavior change models, with prior experience applying these frameworks to digital health or technology-mediated interventions strongly preferred. •Demonstrated expertise in causal inference, off-policy evaluation, and adaptive trial designs. Hands-on experience with Micro-Randomized Trials (MRTs), Multi-Arm Bandits (MABs), and Reinforcement Learning (RL) algorithms in applied settings. •Must be comfortable operating at an industry pace — translating academic rigor into actionable, sprint-compatible deliverables without sacrificing scientific integrity. Required Skills: •Design and build a structured behavioral taxonomy in close collaboration with the AI Team. Define the taxonomy of behavioral targets, barrier profiles, BCT mappings, and intervention modalities. Ensure the taxonomy is structured for machine readability and downstream use in the recommendation system. •Convert the BCTTv1, COM-B framework, and relevant behavior change evidence into a practical classification system that Engineering and ML teams can operationalize. •Provide expert review of intervention logic, BCT-to-barrier mappings, and taxonomy edge cases. Flag areas where the system’s behavioral logic deviates from the evidence base. •Bring a publication-grade standard for evidence evaluation. Help the team distinguish between well-supported, plausible, and speculative behavioral claims within the taxonomy. •Lead JITAI System Development: Design and build the just-in-time adaptive intervention design system in close collaboration with the AI Team — the decision logic that determines whether, what, and when to prompt a user at each moment of opportunity in the app. •Define Decision Points & Tailoring Variables: Specify the decision points at which the system evaluates whether to intervene, and the tailoring variables — behavioral state, context, receptivity, and prior response history — that inform each decision. Qualifications: •Partner with Engineering to specify the event logging and data infrastructure needed to support the learning loop. Ensure instrumentation is in place before launch to enable attribution and effect estimation. •Design and advise on adaptive experimentation methodologies including Multi-Arm Bandits (MABs), Micro-Randomized Trials (MRTs), and contextual exploration strategies appropriate for within-person behavioral data. •Develop the analytical framework for N-of-1 self-experiments within the product. Define how individual-level effect estimates are computed, communicated, and updated over time. •Consult on experiment design for population-level tests. Provide guidance on power, sample size, randomization, and the interplay between individual and group-level inference. •Cross-Functional Leadership •Work directly with ML Engineers on the recommendation and intervention system architecture, aligning taxonomy structure and causal-inference methodology with the technical architecture of the system. •Consult on measurement design, study methodology, and intervention evaluation frameworks as needed. Serve as an internal expert reference for the BeSci team. •Partner with the Behavioral Analyst to ensure the taxonomy and statistical learning framework are aligned with the behavioral theory driving intervention selection. Compensation: •100% covered Medical/Dental/Vision insurances for employee AND spouse + dependents! Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!