Machine Learning (ML) & Data Analytics

This subcontract under the Advanced Research Projects Agency for Health (ARPA-H) focuses on the design and optimization of machine learning-assisted models for prime contractors on COSMOS projects. The primary objective involves processing Terrestrial Arm and LEO Twin data sets to identify critical patterns related to aging and tissue dysfunction, with a specific goal of optimizing models for high-throughput drug testing during Phase II. The project requires specialized proficiency in large-scale data set optimization and ML-assisted biological modeling. The successful contractor will be responsible for delivering fully analyzed data sets and functional machine learning models. This opportunity was posted on September 16, 2026, with a response deadline of October 7, 2026, falling under NAICS code 541511.