dsm-firmenich is looking to leverage protein and molecular AI in taste receptor biology to uncover new possibilities in taste and health for their clients and customers by mapping the sense of taste.
Requirements
- Strong skills in computational structural biology, virtual docking and molecular dynamics simulations, including hands-on experience with modern protein AI tools.
- Deep 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 CI/CD pipelines.
- Experience with AWS or Azure cloud computing environments is a plus.
- high level of proficiency in python.
- Familiarity with good use of coding agents preferred.
Responsibilities
- Use data science and AI 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 ML and protein AI models of receptor-ligand interactions to drive receptor science using deep structural biology knowledge.
- Perform in silico screening, docking analyses and energy calculations.
- 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
- Ph.D. or similar experience in Receptor Biology, Structural Biology, Computer Science, AI, or a related field.
- 3-7 years of additional academic or industrial work experience in ingredients, or small molecule discovery, ideally in the chemosensory biology field.
- Record of accomplishments demonstrating high drive and keen entrepreneurial innovation.
- 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.