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

dsm-firmenich • San Diego, CA

2d • $97,000 - $139,000

About The Position

Associate Scientist Data Science Location: San Diego, CA We are seeking a highly skilled data scientist specialized in machine learning, genomics and metabolic modeling applied to ingredient discovery to help discover next-generation taste ingredients. The candidate would join dsm-firmenich's Data Science Ingredient Modeling unit and work with a talented team of data scientists, chemists and biologists mapping our sense of taste. Our team is at the forefront of leveraging protein and molecular AI and bioinformatics applied to taste receptor biology to uncover new possibilities in taste and health for our clients and their customers. This role offers the opportunity to contribute to interdisciplinary science projects that integrate the latest advances in computational biology, data science, AI and receptor science while working in close collaboration with leading domain experts.

Requirements

• 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.
• 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.

Nice To Haves

• Ideally, understanding of structural and receptor biology, especially chemosensory receptors, including GPCRs and ion channels.
• Familiarity with good use of coding agents preferred.

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

Benefits

• Opportunity to join a dynamic and thriving team applying ML and other modeling techniques to biology and chemistry.
• Highly motivated, professional and committed multicultural and interdisciplinary team.
• Opportunity to put your scientific skills into practice with innovations in health, nutrition and beauty.
• Grow and develop your skills through our in-house training courses.
• Being a part of company shaping a strong legacy heritage through industrial innovations and cutting-edge technology.
• A commitment to science-based innovations with 2000 scientists and 700 MM annual S&R investments.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level