The NCCOS Monitoring and Assessment Branch has over three decades of contaminant chemistry and ancillary data for bivalves and sediment collected throughout the United States and its protectorates. The collection, analysis and subsequent publication of this data was performed under the jurisdiction of multiple different programs and principal investigators within the Monitoring and Assessment Branch. The contaminant data has been reformatted and is in the process of been moved to an Azure SQL database with the goal of utilizing the combined data sets to characterize contamination at the national level including the development of baseline concentration and predictive machine learning models. This position will provide an individual hands-on experience with R, python, SQL and machine learning depending on the pre-existing skill level of the intern.