Data Analytics and Predictive Modeling

The contract titled Data Analytics and Predictive Modeling requires the contractor to analyze demographic, exposure, and clinical data to forecast demand for screening programs, evaluate the effectiveness of current initiatives, and establish data-driven triggers to guide future program planning. This work is critical for informing public health strategies through evidence-based insights, ensuring resources are allocated efficiently and interventions are targeted where they are most needed. The contractor must employ advanced analytical methods to uncover patterns and trends in large-scale health datasets, translating them into actionable recommendations that support proactive and scalable program improvements. This subcontract is issued under NAICS code 541620 for analytical services and is managed by the CDC Office of Acquisition Services within the Department of Health and Human Services. The performance location is specified as Libby, with a response deadline of July 2, 2026, at 3:00 PM. The opportunity is open for bidding as a subcontract, though no set-aside designation is specified, and details regarding eligible entities or point of contact are not provided. Interested parties must submit proposals by the stated deadline to participate in this initiative aimed at strengthening public health infrastructure through predictive analytics and data intelligence.