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Bioinformatics and Data Integration Platform Development

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Contract Overview

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

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The National Institutes of Health, under the Department of Health and Human Services, is seeking a subcontract for the development of a Bioinformatics and Data Integration Platform. The primary objective of this project is to design and maintain a cloud-based platform capable of integrating genomic, clinical, and imaging data from various consortium sites to support predictive modeling of cardiovascular risk in patients with Type 1 Diabetes. This opportunity falls under NAICS code 541712 and was posted on June 4, 2026. Interested parties must submit their responses by the deadline of March 10, 2027. Further details regarding the solicitation can be accessed through the provided grants.gov link.

General Info

NIH seeks a subcontract for a cloud-based bioinformatics platform for cardiovascular risk modeling.

Agency

Department Of Health And Human Services → National Institutes Of Health

NAICS

541712 - Research and Development in the Physical, Engineering, and Life Sciences (except Biotechnology)View NAICS

Place of Performance

Not specified

Set-Aside

NONE

Documents

This scope was carved out of RFA-DK-27-108.

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

View the prime solicitation

Continuation of the Cardiovascular Repository for-Type 1 Diabetes (CARE-T1D) Consortium U01 (Open Competition)- Research (U01, Clinical Trial Not Allowed)

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Timeline

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Response Deadline

Submission deadline

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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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Design and maintain a cloud-based platform to integrate genomic, clinical, and imaging data across consortium sites for predictive modeling of cardiovascular risk in Type 1 Diabetes.

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