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

Position Overview

Associate Scientist Data Science based in San Diego, CA. We are seeking a highly skilled data scientist specialized in machine learning, genomics, and metabolic modeling applied to ingredient discovery.

You will join dsm-firmenich's Data Science Ingredient Modeling unit and work alongside a talented and interdisciplinary team of data scientists, chemists, and biologists to map our sense of taste and drive innovative solutions in computational biology, AI, and receptor science.

Key Responsibilities

• Use data science, ML/AI, genomics, and metabolic modeling to drive a fast-paced ingredient discovery pipeline that generates maximum value.
• Develop and implement accurate bioinformatics and ML/AI-based methods to explore biological diversity and the chemical space of natural products.
• Leverage existing and create new virtual libraries to assist in in silico screening of taste receptors.
• Contribute to the development and adoption of best practices and common computational tools within our global community.
• 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—including a high level of proficiency in Python and familiarity with coding agents.
• Collaborate with data scientists and life science experts worldwide to ensure project success.

Required Qualifications

• Master's degree in Cheminformatics, Bioinformatics, Computer Science, Artificial Intelligence, or a related field.
• 3-5 years of academic (including PhD studies) or industry experience in ML/AI and bioinformatics applied to ingredient or small molecule discovery.
• A proven record of accomplishments that demonstrate high drive and entrepreneurial innovation.
• Strong skills in computational biology, genomics, retrobiosynthesis, and metabolic modeling, with hands-on experience developing, deploying, and benchmarking ML/AI tools.
• Understanding of structural and receptor biology, particularly pertaining to chemosensory receptors such as GPCRs and ion channels.
• Proficiency in modern machine learning techniques, Python, code management/version control (e.g., Git), and CI/CD pipelines.
• Excellent problem-solving, communication, and collaboration skills with an ability to explain complex concepts to non-experts.

Benefits & Perks

• Compensation: $97,000 - $139,000 with additional bonuses and benefits.
• Opportunity to join a dynamic and innovative team at the forefront of ML, computational biology, and receptor science.
• Access to in-house training courses and professional development opportunities.
• Be part of a legacy of industrial innovations with significant investments in R&D, working alongside 2000 scientists.
• A supportive, inclusive, and diverse work environment that values your growth and ideas.