4 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

Industry: Chemical Manufacturing

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DSM