Statistical Modeling & Data Imputation Services

The contract seeks the development of advanced statistical models and imputation techniques to correct missing or incomplete Medicare claims data, ensuring the accuracy and reliability of downstream analyses. The work is focused on enhancing data integrity through methodological innovation, specifically targeting gaps in Medicare datasets that could compromise policy, financial, or health outcome evaluations. The contractor will be expected to apply rigorous statistical frameworks to estimate missing values, validate model outputs, and maintain compatibility with existing Medicare data structures and federal reporting standards. This subcontract is issued under NAICS code 541620 for scientific and technical consulting services and is managed by the Office of Acquisition and Grants Management within the Department of Health and Human Services. Performance is to be conducted in Redington Beach, with no specified set-aside for small or disadvantaged businesses. The solicitation was posted on June 24, 2026, and while no point of contact or detailed procurement requirements are listed, the emphasis is squarely on technical expertise in data science and health informatics to support federal Medicare operations.