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Data and Modeling Core Services

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Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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The Data and Modeling Core Services subcontract, issued by the National Institutes of Health under the Department of Health and Human Services, focuses on the development and implementation of predictive computational models for research center projects. The scope of work involves integrating large-scale clinical and omics datasets through the use of artificial intelligence, machine learning, and federated learning architectures to improve patient risk stratification. These operations will be conducted within high-performance computing environments and secure electronic health record repositories. The project requires strict adherence to FAIR Data Principles and HHS/NIH cybersecurity incident reporting standards to ensure data integrity and security. The primary deliverables include harmonized datasets and validated predictive models. This opportunity, categorized under NAICS code 541511, was posted on November 4, 2026, with a response deadline of February 18, 2027.

General Info

Agency

Department Of Health And Human Services → National Institutes Of Health

Place of Performance

Not specified

Set-Aside

NONE

Documents

This scope was carved out of RFA-AI-28-014.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Systems Biology of Infection and Inflammation in Chronic Diseases (U19 Clinical Trial Not Allowed)

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Timeline

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subcontract

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Organization & Contact Information

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AgencyDepartment Of Health And Human Services → National Institutes Of Health
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Health And Human Services → National Institutes Of Health
Office AddressN/A
ContactsNo contact information available

Full Description

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Develops and implements predictive computational models for prime contractors on NIH research center projects. Integrates large-scale omics and clinical datasets using AI, machine learning, and federated learning architectures to stratify patient risk. Utilizes HPC environments and secure EHR repositories. Adheres to FAIR Data Principles and HHS/NIH cybersecurity incident reporting standards. Delivers validated predictive models and harmonized datasets.

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NAICS: 541511
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CG-AIR-COCO-1

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about 9 hours ago

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in 19 days
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