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Clinical Research Statistical Analysis Services

Open
Federal

Contract Overview

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

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This subcontract for Clinical Research Statistical Analysis Services supports prime contractors on NIH/NIMHD research network projects. The scope of work involves developing statistical analysis plans, performing analysis on harmonized datasets, and providing essential support to the Data and Safety Monitoring Board. All technical work must be executed using SAS, R, or Stata while strictly adhering to NIH statistical guidelines and peer-review standards to ensure the delivery of validated data outputs and comprehensive statistical analysis reports. The project is associated with the National Institutes of Health and the Department of Health and Human Services, with the place of performance located in Bethesda. Interested parties should note the response deadline of November 23, 2026. The opportunity is categorized under NAICS code 541690, focusing on specialized biostatistical expertise to maintain the integrity of clinical research data.

General Info

NAICS

541690 - Other Scientific and Technical Consulting Services

Place of Performance

Bethesda, MD, USA

Set-Aside

NONE

Documents

This scope was carved out of 75N94027R00003.

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

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EmbraceHEALTH Clinical Research Network (EmbraceHEALTH CRN) - Coordinating Center

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Organization & Contact Information

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AgencyDepartment Of Health And Human Services → National Institutes Of Health Nichd
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Provides biostatistical analysis for prime contractors on NIH/NIMHD research network projects. Develops statistical analysis plans (SAPs), performs analysis on harmonized datasets, and supports the Data and Safety Monitoring Board (DSMB) using SAS, R, or Stata. Adheres to peer-review standards and NIH statistical guidelines. Delivers statistical analysis reports and validated data outputs.

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