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This Government Contract opportunity from Department Of Health And Human Services was posted on April 29, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Quality Control and Reproducibility Validation Services

Closed
Federal

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The contract pertains to independent validation services focused on assessing the reproducibility, sensitivity, and data compatibility of laboratory assays through replicate testing, coefficient of variation analysis, and cross-platform comparisons. The work is required to ensure technical reliability and consistency of assay performance across different systems and conditions, with outcomes critical to maintaining quality standards in biomedical research. Performance will be executed in Rockville, and the submission deadline for proposals is May 13, 2026. This is a subcontract under the NAICS code 541320 for scientific research and development services, awarded by the National Institutes of Health under the Department of Health and Human Services.

General Info

Independent validation of assay reproducibility, sensitivity, cross-platform comparison for quality control.

Agency

Department Of Health And Human Services → National Institutes Of Health Olao

NAICS

541320 - Landscape Architectural ServicesView NAICS

Place of Performance

Rockville, MD, USA

Set-Aside

NONE

Documents

This scope was carved out of 75N98026Q00280.

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

View the prime solicitation

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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

Full Description

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Independent validation of assay reproducibility, sensitivity, and data compatibility through replicate testing, CV% analysis, and cross-platform comparison.

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Miguel
Hillary
Keith Deutsch
Christine

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