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Technical Subject Matter Expert (SME) / Research Consultant

Active
Federal

Contract Overview

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This subcontract opportunity is for a Technical Subject Matter Expert or Research Consultant to support prime contractors on EPA SBIR Phase I projects. The selected consultant will be responsible for performing specialized technical analysis, theoretical modeling, and literature reviews, while providing expert guidance on technology feasibility and experimental design. Key deliverables include validated theoretical models and technical memos produced through the use of academic databases and simulation software. The position requires a PhD or an advanced degree in a relevant scientific field to ensure high-level technical expertise. This SBA set-aside opportunity falls under NAICS code 541715 and is managed by the Environmental Protection Agency. Interested parties must respond by November 9, 2026.

General Info

PhD consultant for EPA SBIR Phase I technical analysis and modeling by November 2026.

NAICS

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

Place of Performance

Not specified

Set-Aside

SBA

Documents

This scope was carved out of 68HERW26R0102.

The full solicitation package (3 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

SBIR FY26 Phase I Broad Agency Announcement

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Organization & Contact Information

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AgencyEnvironmental Protection Agency → Wtsd
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Performs specialized technical analysis, literature reviews, and theoretical modeling for prime contractors on EPA SBIR Phase I projects. Provides expert guidance on technology feasibility, assists in the design of experiments, and contributes to technical reports using simulation software and academic databases. Requires a PhD or advanced degree in a relevant scientific field. Delivers technical memos and validated theoretical models.

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