This Government Contract opportunity from Department Of Health And Human Services was posted on May 13, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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Data Harmonization & Bioinformatics Support

Closed

Federal

Submission Closed05/27/2026, 03:00:00 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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POSTED

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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 bioinformatics expertise to normalize and harmonize proteomic datasets collected across multiple timepoints and instrumentation platforms, ensuring consistency and compliance with NIH research and data standards. The work will focus on aligning complex proteomic data to facilitate integrative analysis, improve data reproducibility, and support longitudinal studies under NIH guidelines. Successful performance requires advanced computational methods, experience with multi-omics data workflows, and a deep understanding of federal data management requirements for biomedical research. Performance is expected to take place in Sun City, Arizona, with a response deadline of May 27, 2026, and the solicitation was posted on May 13, 2026. This is a subcontract under the NAICS code 541715 for scientific research and development services, managed by the National Institutes of Health through the Department of Health and Human Services. The effort is critical to enabling seamless data sharing and comparative analysis across NIH-funded projects, emphasizing interoperability, standardized formats, and adherence to federal data equity and accessibility benchmarks.

General Info

Provide bioinformatics services to normalize proteomic data ensuring NIH compliance, performed in Sun City.

Agency

Department Of Health And Human Services → National Institutes Of Health OlaoView Agency

NAICS

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

Place of Performance

Sun City, AZ, 85351, USA

Set-Aside

NONE

Documents

This scope was carved out of NIH-NOI-26-PCA-NIA-01589.

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

View the prime solicitation

Neurodegenerative Disease Research - Proteomic Analysis Services

AI Contract Breakdown

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No contract breakdown available.

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Timeline

PhaseClosed

PostedMay 13

subcontract

Response DeadlineMay 27

Deadline has passed

Submission Closed

05/27/2026, 03:00:00 PM UTC

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Organization & Contact Information

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

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Office AddressN/A

ContactsNo contact information available

Full Description

Provide bioinformatics expertise to normalize and harmonize proteomic datasets across timepoints and instruments, ensuring alignment with NIH research and data standards.