Principal Scientist, Data Science And Ai - Princeton, Nj

Firmenich

Princeton, New Jersey, United States
Base: $180,000 - $260,000; bonus/equity: eligible ...
On-site
Phd in computational biology or related field
10+ years post-doctoral industrial r&d experience
Expert-level python/r programming skills
The Principal Scientist, Data Science and AI position at Firmenich in Princeton, NJ, seeks an experienced professional with expertise in multimodal and multiomics data to lead R&D initiatives. The ideal candidate will possess a PhD and a robust background in human biology, data science, and AI, while contributing to innovative projects that impact health and nutrition

Job Summary

  • This role serves as a technical cornerstone for designing world-class R&D engines that mine datasets for human nutrition and care evidence.
  • The successful candidate will establish AI/ML-assisted scoring systems to prioritize ingredients based on novelty, biological relevance, and commercial viability.
  • The company offers a global collaborative environment with unique career paths across health, nutrition, and beauty sectors.

Matching Summary

Match Score: 85

The Principal Scientist, Data Science and AI position at Firmenich in Princeton, NJ, seeks an experienced professional with expertise in multimodal and multiomics data to lead R&D initiatives. The ideal candidate will possess a PhD and a robust background in human biology, data science, and AI, while contributing to innovative projects that impact health and nutrition.

Salary

Base: $180,000 - $260,000; Bonus/Equity: Eligible for bonuses; Benefits: Not specified

Skills & Requirements

Must-have

  • PhD in Computational Biology or related field
  • 10+ years post-doctoral industrial R&D experience
  • Expert-level Python/R programming skills
  • Deep expertise in multi-omics and microbiome data
  • Experience with large-scale cohort data management

Nice-to-have

  • Familiarity with Large Language Models (LLMs)
  • Understanding of metadata harmonization frameworks
  • Ability to distill technical complexity for stakeholders
  • Experience with Generative AI tooling adoption
  • Track record of successful clinical program launches

Key Requirements

  • PhD in Computational Biology, Bioinformatics, Biostatistics, or Epidemiology
  • 10+ years of post-doctoral experience in industrial R&D
  • Proven history leading high-impact discovery or translational science programs

Work Rights

Not specified

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