Bioinformatics and Machine Learning Model Development

The contract seeks the development and validation of machine learning models to predict fish age using DNA methylation data, requiring the delivery of fully functional source code, a comprehensive user guide, and detailed performance metrics to assess model accuracy and reliability. The work is focused on bioinformatics applications in fisheries science, with an emphasis on creating robust and reproducible algorithms that can transform epigenetic patterns into precise age estimates for aquatic species. All deliverables must meet rigorous scientific standards to support operational use in research and management contexts. The project is issued as a subcontract under the NAICS code 541511 for scientific and technical consulting services, sponsored by the National Oceanic and Atmospheric Administration within the Department of Commerce. Performance is to be carried out in Woods Hole, a hub for marine research, and the proposal must be submitted by August 14, 2026, with a posted date of July 31, 2026. No set-aside classifications apply, and while the point of contact is unspecified, the technical scope clearly centers on delivering a turnkey solution that integrates biological data with advanced machine learning techniques for practical fisheries applications.