Enzyme engineering is undergoing a paradigm shift thanks to lab automation and AI solutions. We are early adopters and are already reaping benefits of our investments. Now we are ready for the next step and are busy implementing a state-of-the-art, highly automated ML based design pipeline. We are looking for a Protein Engineering Data Scientist to accelerate our efforts and we hope it’s you!
Who we are:
IFF is a global leader in biotechnology; in early 2021, the company consolidated its leadership position by merging with DuPont’s Nutrition & Biosciences division. The IFF laboratories in Palo Alto have a long and dynamic history that goes back to the beginnings of industrial enzyme technology (Genentech/Corning: Genencor, 1982), to becoming the world market leader in sustainable bio-solutions (Danisco).
At IFF Health & Biosciences, our R&D team develops microbial production strains and engineers enzymes for applications in the areas of food & beverages, home & personal care, animal feed, paper & textile processing, health and wellness and more. We have a strong focus on providing sustainable solutions on an industrial scale, and we are constantly evolving and innovating to offer competitive high-end products to our international customers.
Position Description:
- 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 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 cloning and screening workflows. You have freedom to find preferred 3rd party technologies as well as deciding on the components and models that you prefer us to develop internally.
This position will be located at our Palo Alto site working in close collaboration with IFF data engineers, protein, strain, and fermentation scientists on the US East Coast, the Netherlands and Denmark, as well as our network of partners in digital and tech in the Silicon Valley.