Principal Scientist, Data Science and AI - Princeton, NJ

DSM
United States
Workplace: OnsiteFull timeUSD 180,000 - 260,000 annuallyFunction: Data Science & Machine LearningExperience: 10+ yearsEducation: phdSkills: ["Leadership","Mentorship","Collaboration","Communication","Problem-solving"]

Lead the development of scalable data pipelines and an analytical framework for multimodal, multiomics datasets to drive evidence-based nutrition and care. Shape AI/ML decision frameworks, oversee scientific evidence packages, and mentor junior scientists while collaborating across Data Science, Life Science, and Health Nutrition teams to apply state-of-the-art AI tools including LLMs.

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DSM
DSM
5 months ago

Principal Scientist, Data Science and AI - Princeton, NJ

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Last checked: 1 hour agoStatus: Live

Job Summary

Lead the development of scalable data pipelines and an analytical framework for multimodal, multiomics datasets to drive evidence-based nutrition and care. Shape AI/ML decision frameworks, oversee scientific evidence packages, and mentor junior scientists while collaborating across Data Science, Life Science, and Health Nutrition teams to apply state-of-the-art AI tools including LLMs.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Architectural Vision: Direct the development of scalable pipelines for the ingestion and harmonization of massive, heterogeneous human cohort datasets.
  • •Decision Frameworks: Establish AI/ML-assisted multi-criteria scoring systems to prioritize ingredients based on novelty, biological relevance, and commercial viability.
  • •Evidence Orchestration: Oversee the creation of comprehensive scientific evidence packages, ensuring data science outputs are biologically plausible and clinically robust.
  • •Cross-Functional Influence: Partner with other Data Science groups, Life Science and Health Nutrition teams to integrate data science into experimental design.
  • •Innovation Catalyst: Champion adoption of state-of-the-art AI tooling, including Generative AI and LLMs, to generate hypotheses and synthesize knowledge.

Pay and Benefits

Salary: USD 180,000 - 260,000 annually

Key Requirements

  • •PhD in Computational Biology, Bioinformatics, Biostatistics, Epidemiology or a related quantitative field with 10+ years of post-doctoral experience (predominantly in an industrial R&D setting).
  • •Expert-level command of human molecular biology, with a focus on leveraging processed multi-omics and microbiome data for advanced analytics.
  • •Proven history of leading high-impact discovery, translational science programs and/or clinical programs that resulted in successful product launches or major scientific breakthroughs.
  • •Deep expertise in Python/R and with a track record of building production-grade analytical frameworks.
  • •Forward-thinking approach to using Large Language Models (LLM) for scientific knowledge extraction and automated hypothesis generation.
Experience:10+ years
Education:PhD / Doctorate
Skills:LeadershipMentorshipCollaborationCommunicationProblem-solving
Tech Stack:PythonRLLMsLarge language modelsAIMachine learningMetadata managementBiometricsBiostatistics

Company Brief

DSM
DSM-Firmenich is a global leader in food ingredients, nutrition, fragrances and beauty solutions, formed by the merger of DSM and Firmenich to provide sustainable, science-driven products and services across food, health and personal care industries.
Industry: Chemical Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: Geneva, Switzerland
Founded: 2023
WebsiteLinkedIn