At IFF we are looking for an experienced machine learning oriented protein engineer. As part of our team, you will identify the state-of-the-art in data-driven methods for library design, adjust them to our purposes and help implement them for direct use in business projects.
In our team, machine learning staff, molecular biologists, biochemists, and automation hardware engineers work side-by-side. Improvements are deployed with minimal delay, and you can expect to have large impact on the value of our products.
As a Protein Engineering Data Scientist, you will help to define our design strategy and to implement it so that it seamlessly integrates with our high-throughput screening workflows
• PhD or equivalent education and industry work experience in Biological Sciences, Computational Biology, Bioinformatics, Structural Biology, Data Science, or related field.
• Experience with applied enzyme engineering.
• Comprehensive knowledge of deep learning – particularly natural (protein) language modeling, diffusion models and/or genetic algorithms.
• Expertise in statistical inference.
• Ability to write high-quality, structured, and maintainable code.
• Effective written and oral communication skills and demonstrated ability to work in a team environment.
• Productivity demonstrated through a track record of publications and/or patents.
Online: careers.iff.com/job/Palo-Alto-Protein-Engineering-Data-Scientist-CA-94301/1142126300/
Email for more information: virgil.rhodius@iff.com