Protein Design Scientist

The Syngenta Seeds Bioinformatics group is seeking a Protein Design ML Scientist to join our growing protein design team in Durham, NC. In this role, you will drive agricultural trait discovery by developing and implementing state-of-the-art ML algorithms for computational protein engineering and other challenging biological problems. You will implement predictive models and active learning workflows, collaborating closely with experimentalists to design and optimize variant libraries even when experimental data is limited. Your expertise in protein language modeling and property predictive models AI will directly deliver next-generation traits to the field.  Accountabilities: Develop biological hypotheses and create scalable computational workflows for variant design and property prediction to accelerate trait discovery.Implement, adapt, and optimize advanced biomolecular machine learning models, including protein language models, generative models, co-evolutionary architectures, and three-dimensional structure prediction tools.Apply computational protein design and machine learning approaches to advance innovative projects within the trait development pipeline.Partner with wet-lab research teams to design high-quality variant libraries aligned with experimental objectives.Use active learning and Bayesian optimization techniques to integrate experimental screening results into iterative design and testing cycles.Analyze computational and experimental data to identify meaningful insights and guide future protein design strategies.Translate complex machine learning concepts, technical protocols, and analytical findings for both technical and non-technical audiences.Provide clear project updates, recommendations, and scientific insights to cross-functional stakeholders.Monitor developments in protein design research and evaluate promising tools, technologies, and project concepts for potential application.