Principal Scientist, Data Science and AI - Princeton, NJ
Core
Design a world-class R&D engine to mine internal and external datasets for evidence in human nutrition and care.
Role type
Principal Scientist, Data Science and AI
Builds
Scalable pipelines for ingesting and harmonizing massive human cohort datasets; AI/ML-assisted scoring systems for ingredients; scientific evidence packages.
Domain
Human health, nutrition, and care (multiomics, microbiome, clinical outcomes)
Deliverable
production ML models | research | client delivery
Required skills
Human molecular biology, multi-omics and microbiome data analytics, large-scale cohort data management, Python/R, production-grade analytical frameworks, Generative AI and LLMs for knowledge extraction
Preferred skills
Metadata management and harmonization frameworks for longitudinal research data
Responsibilities
Architect scalable pipelines for heterogeneous human cohort data; Establish AI/ML-assisted multi-criteria scoring systems; Oversee creation of scientific evidence packages; Act as strategic partner to integrate data science into experimental design; Champion adoption of state-of-the-art AI tooling; Provide technical mentorship to junior data scientists
Seniority
Principal, strategy & mentorship
