This Government Contract opportunity from Department Of Health And Human Services was posted on September 16, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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In Silico Aging & Physiological Modeling

Closed

Federal

Submission Closed10/07/2026, 06:00:00 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 # HQ003427AOI5

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Department Of The Air Force

POSTED

DEADLINE

NextGen IACMAC Industry Day - VIRTUAL

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Solicitation # 80MSFC27ENG1026

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POSTED

DEADLINE

Field Research Technician (Physical and Biological Sciences)This subcontract opportunity is for a Field Research Technician specializing in Physical and Biological Sciences to support US Geological Survey ecosystem research projects. The selected provider will perform field-based data collection and biological and physical sampling within the Great Lakes Northern Forest region. Primary responsibilities include executing ground-truthing techniques to verify land-cover classifications, conducting laboratory analysis of samples, and utilizing high-accuracy GPS/GNSS handhelds and specialized biological sampling equipment. All work must be performed in strict adherence to USGS Fundamental Science Practices, with final deliverables consisting of raw field data and validated ground-truth points. This requirement falls under NAICS code 541715 and is managed by the Department of the Interior. Interested parties must submit their responses by the deadline of December 2, 2026.

US Geological Survey

POSTED

1 day ago

DEADLINE

in 29 days

AI Contract Overview

This subcontract under the Advanced Research Projects Agency for Health (ARPA-H) involves the computational modeling of organ aging for prime contractors on COSMOS projects. The primary objective is to develop a Baseline In Silico Aging Model prior to flight and integrate data from both Low Earth Orbit and terrestrial twins to quantify the Tissue Aging Rate in Space (TARIS). The scope of work includes providing biologically informed design parameters for MPS fabrication and delivering comprehensive reports on the Baseline In Silico Aging Model and TARIS quantification. This effort falls under NAICS code 541715 and is managed through the Department of Health and Human Services.

General Info

ARPA-H subcontract for computational organ aging models to quantify tissue aging in space.

Agency

Department Of Health And Human Services → Advanced Research Projects Agency For Health (arpa-H)

NAICS

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

Place of Performance

Set-Aside

NONE

Documents

This scope was carved out of ARPA-H-SOL-26-165.

The full solicitation package (12 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

ARPA-H Comprehensive Organ System Modeling in Outer Space (COSMOS) Innovative Solutions Opening

AI Contract Breakdown

Uniform Contract Format

No documents to break down

The breakdown needs solicitation documents. None were found from this contract's source.

Timeline

PhaseClosed

PostedSep 16

subcontract

Response DeadlineOct 7

Deadline has passed

Submission Closed

10/07/2026, 06:00:00 PM UTC

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Organization & Contact Information

AgencyDepartment Of Health And Human Services → Advanced Research Projects Agency For Health (arpa-H)

ContactsNo contacts available

OfficeN/A

Organization / AgencyDepartment Of Health And Human Services → Advanced Research Projects Agency For Health (arpa-H)

Office AddressN/A

ContactsNo contact information available

Full Description

Performs computational modeling of organ aging for prime contractors on ARPA-H COSMOS projects. Develops a Baseline In Silico Aging Model pre-flight and integrates LEO and Terrestrial Twin Data to quantify the Tissue Aging Rate in Space (TARIS). Provides biologically informed design parameters for MPS fabrication. Delivers Baseline In Silico Aging Model and TARIS quantification reports.