This Government Contract opportunity from Department Of Health And Human Services was posted on June 17, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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Signal Amplification and Detection Strategy Development

Closed

Federal

Submission Closed07/17/2026, 05:00:00 PM UTC

Contract Overview

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

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NAICS: 541715

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Solicitation # WS5642957262

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R3PEATS Multi-Team Triangulation: Collaborative Cross-Method Approaches to Scientific Discovery (RM1)The R3PEATS Multi-Team Triangulation initiative, managed by the National Institutes of Health under the Department of Health and Human Services, focuses on collaborative cross-method approaches to scientific discovery. This program supports coordinated teams investigating central biomedical research questions using complementary populations, model systems, or methods. A primary objective is to enhance scientific excellence by identifying signal robustness and biological variability while integrating replication directly into the research design. This effort is part of the broader NIH Common Fund program dedicated to Rigor, Replicability, and Reproducibility to Promote Excellence, Accuracy, and Translation in Science. The opportunity is currently listed as a forecast with a posted date of September 11, 2026, and interested parties can contact the R3PEATS Program for further information.

National Institutes Of Health

POSTED

1 day ago

DEADLINE

N/A

AI Contract Overview

The contract seeks the development of advanced signal amplification methods to enable highly sensitive detection systems without introducing additional operational complexity. Innovative approaches involving enzymatic processes, nanomaterials, or digital techniques are prioritized to enhance performance in diagnostic or sensing applications, with a strong emphasis on practicality and scalability. The work must deliver solutions that are robust, easy to implement, and suitable for real-world use cases, particularly in settings where simplicity and reliability are critical. Awarded as a subcontract under the NAICS code 541715, this opportunity is managed by the Aspr Barda Division Contracts Management & Acq within the Department of Health and Human Services. The project is based in Washington with a submission deadline of July 17, 2026, at 5:00 PM. Proposals are expected to align with the agency’s mission to advance public health technologies through cutting-edge, yet operationally streamlined, detection strategies. While no set-aside provisions are indicated, applicants should ensure their methodologies meet the technical requirements for sensitivity and ease of use without compromising system integrity.

General Info

Develop scalable, simple signal amplification methods using enzymes, nanomaterials, or digital tech for sensitive diagnostic systems.

Agency

Department Of Health And Human Services → Aspr Barda Division Contracts Management & AcqView Agency

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)View NAICS

Place of Performance

Washington, DC, USA

Set-Aside

NONE

Documents

This scope was carved out of RRPV-HPAD.

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

View the prime solicitation

High Performance Antigen Diagnostics

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Timeline

PhaseClosed

PostedJun 17

subcontract

Response DeadlineJul 17

Deadline has passed

Submission Closed

07/17/2026, 05:00:00 PM UTC

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Organization & Contact Information

AgencyDepartment Of Health And Human Services → Aspr Barda Division Contracts Management & Acq

ContactsNo contacts available

OfficeN/A

Organization / Agency

Department Of Health And Human Services → Aspr Barda Division Contracts Management & Acq

View Agency Profile

Office AddressN/A

ContactsNo contact information available

Full Description

Develop innovative signal amplification methods such as enzymatic, nanomaterial-based, or digital techniques to achieve high sensitivity without increasing operational complexity.

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