Responsibilities
* lead the end-to-end product lifecycle for ai-driven r&d and claims platforms, from unmet need discovery through formulation intelligence, claims generation, validation, and post-launch learning.
* develop and deliver ai-enabled solutions for ingredient selection, excipient compatibility, bioavailability modeling, and consumer sensory prediction.
* own and advance ai-enabled claims intelligence platforms, supporting claims ideation, evidence gap analysis, and competitive benchmarking.
* integrate data from clinical studies, consumer usage, and post-market surveillance to drive closed-loop learning and evidence generation strategies.
* ensure scientific rigor, regulatory readiness, and consumer trust while enabling general scaling and localization of claims and formulations.
qualifications
* bachelor’s or master’s, in chemical engineering, pharmaceutical sciences, ai/ml, data science, biomedical engineering, or consumer health sciences.
* 5–10+ years in consumer health r&d, formulation science, or claims development and/or digital product management with strong scientific exposure.
* strong understanding of machine learning and nlp concepts, ai model lifecycle, and mlops fundamentals.
* proven ability to translate scientific problems into technical product requirements and communicate complex ai and science topics clearly.
* experience working with otc, wellness, nutrition, or consumer healthcare products.
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