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dsm-firmenich · 2 weeks ago

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

San Diego, CA

Full-time

Onsite

Mid Level

$97K/yr - $139K/yr

3+ years exp

Dsm-firmenich is a global team powered by science and creativity, seeking a highly skilled data scientist specialized in machine learning, genomics, and metabolic modeling for ingredient discovery. The role involves driving an ingredient discovery pipeline using advanced data science techniques and collaborating with experts in the field.

BeautyChemicalHealth CareManufacturingNutrition

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. Familiarity with good use of coding agents preferred

Team-up with other data scientists and life science experts around the globe to drive project success

Qualification

Machine LearningBioinformaticsComputational BiologyPythonGenomicsMetabolic ModelingML/AI ToolsCollaboration SkillsProblem-Solving SkillsCommunication Skills

Required

Master's degree in Cheminformatics, Bioinformatics, Computer Science, Artificial Intelligence, or a related field

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

Record of accomplishments demonstrating high drive and keen entrepreneurial innovation

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

Ideally, understanding of structural and receptor biology, especially chemosensory receptors, including GPCRs and ion channels

Proficiency in modern ML, python, good code management/version control such as Git, and working with Continuous Integration/Continuous Delivery/Deployment (CI/CD) pipelines

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