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Biomedical Data Analytics & Machine Learning

Active

Federal

Response Deadline08/31/2026, 02:00:00 PM UTC

Contract Overview

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

AI Contract Overview

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The Department of Veterans Affairs, through Network Contracting Office 6, is seeking a subcontractor for Biomedical Data Analytics and Machine Learning. This engagement focuses on the application of advanced statistical modeling, machine learning, and AI-driven analysis to process neuroimaging and clinical datasets. Key technical requirements include feature extraction, predictive modeling, and the visualization of multimodal data. The opportunity is categorized under NAICS code 541690. Interested parties must note the tight response window, with the solicitation posted on August 26, 2026, and a response deadline of August 31, 2026.

General Info

VA seeks subcontractor for biomedical data analytics and machine learning by August 31, 2026.

Agency

Department Of Veterans Affairs → 246-NETWORK Contracting Office 6 (36C246)View Agency

NAICS

541690 - Other Scientific and Technical Consulting ServicesView NAICS

Place of Performance

VA

Set-Aside

NONE

Documents

This scope was carved out of 36C24626Q0986.

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

View the prime solicitation

AN41--Intent to Sole Source - Duke University MRI Service

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Timeline

PostedAug 26

subcontract

Response DeadlineAug 31

Submission deadline

Response Deadline

08/31/2026, 02:00:00 PM UTCin 4 days

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Organization & Contact Information

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AgencyDepartment Of Veterans Affairs → 246-NETWORK Contracting Office 6 (36C246)

ContactsNo contacts available

OfficeN/A

Organization / Agency

Department Of Veterans Affairs → 246-NETWORK Contracting Office 6 (36C246)

View Agency Profile

Office AddressN/A

ContactsNo contact information available

Full Description

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Advanced statistical modeling, machine learning, and AI-driven analysis of neuroimaging and clinical datasets, including feature extraction, predictive modeling, and visualization of multimodal data.

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