Computational Immunologist/ Machine Learning Scientist/ Biostatistician

This role involves cutting-edge research at the intersection of immunology, neuroscience, and behavior. We are looking for a Computational Biologist/Machine Learning Scientist/Biostatistician with experience in the computational modeling and analysis of large-scale biological datasets. The successful candidate will develop novel mathematical, simulation, and machine-learning methods to advance the understanding of adaptive immune receptor repertoires. You will work closely with other computational and experimental scientists to develop groundbreaking new insights into adaptive immunity. Develop mathematical, computational, and machine learning approaches for modeling large-scale immune receptor sequence and/or structural data. Develop novel simulation frameworks for immune repertoire analysis. Perform deep and detailed analyses for data-intensive experiments. Prepare large-scale datasets for internal and external usage. Expand own knowledge base with new methods and concepts to tackle evolving research questions and demands for collaboration.