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Associate Data Scientist, Taste Ingredient Discovery - San Diego, CA

dsm-firmenich

$97,000 - $139,000
Nov 12, 2025
San Diego, CA, United States of America
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dsm-firmenich is seeking a data scientist specialized in machine learning, genomics, and metabolic modeling to discover next-generation taste ingredients by leveraging protein and molecular AI and bioinformatics applied to taste receptor biology.

Requirements

  • 3-5 years of additional academic (e.g. PhD studies) or industry work experience in ML/AI and bioinformatics applied to ingredients, or small molecule discovery, ideally in the chemosensory biology field.
  • Strong skills in a combination of computational biology, genomics, retrobiosynthesis and metabolic modeling, including hands-on experience with development, deployment and benchmarking of ML/AI based tools applied to those problem fields.
  • Proficiency in modern ML, python, good code management/version control such as Git, and working with Continuous Integration/Continuous Delivery/Deployment (CI/CD) pipelines.

Responsibilities

  • Use data science, ML/AI, genomics and metabolic modeling to drive a fast-paced ingredient discovery pipeline that generates maximum value for dsm-firmenich’s taste, texture and health segments.
  • Develop and implement accurate bioinformatics- ML/AI based methods to explore biological diversity and the chemical space of natural products for discovery of natural taste ingredients.
  • Use existing, and generate new, virtual libraries, to assist in silico screening of taste receptors.
  • Contribute to the development and adoption of best practices and common computational tools by our global community of data scientists and scientists.
  • Stay up to date on the latest advancements in computational biology, protein and molecular AI and modeling approaches.
  • Apply modern software development and machine learning tools and practices in your daily work, including a high level of proficiency in python.
  • Team-up with other data scientists and life science experts around the globe to drive project success

Other

  • Master’s degree in Cheminformatics, Bioinformatics, Computer Science, Artificial Intelligence, or a related field.
  • Record of accomplishments demonstrating high drive and keen entrepreneurial innovation.
  • Ideally, understanding of structural and receptor biology, especially chemosensory receptors, including GPCRs and ion channels.
  • Excellent problem-solving skills and proven ability to work both independently and collaboratively.
  • Effective communication and collaboration skills with the ability to convey complex concepts to non-experts.