This talk will explore the complex interdisciplinary software systems developed to support the 32-site international PREDICTHD project that aims to better characterize disease progression in Huntington’s disease.  Key aspects of how software engineering best practices are applied by an interdisciplinary team of computer scientists, software engineers, biostatisticians, and clinical investigators to accelerate the analysis and understanding of distributed and heterogeneous data sources will be presented.    This presentation will describe the infrastructure and environment for the delivery of reproducible computational algorithms and scientific results, including the training and dissemination of these resources, to the larger medical research community.