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Data Analysis & Statistical Consulting

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Contract Overview

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This subcontract for Data Analysis and Statistical Consulting supports prime contractors on National Institutes of Health Research Education Program projects. The scope of work involves providing advanced statistical analysis, bioinformatics support, and comprehensive data management. Key responsibilities include cleaning raw data, performing regression analysis, creating data visualizations, and ensuring overall data integrity to prepare findings for publication. The contractor is responsible for delivering validated research findings, analyzed datasets, and detailed statistical reports. This engagement falls under NAICS code 541690 and is associated with the Department of Health and Human Services. The opportunity was posted on January 15, 2026.

General Info

Subcontract for NIH data analysis, bioinformatics, and statistical consulting for HHS research projects.

Agency

Department Of Health And Human Services → National Institutes Of Health

NAICS

541690 - Other Scientific and Technical Consulting Services

Place of Performance

Not specified

Set-Aside

NONE

Documents

This scope was carved out of PA-27-036.

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

View the prime solicitation

NIH Research Education Program - Research Experiences (R25)

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Timeline

PostedJan 15

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Organization & Contact Information

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AgencyDepartment Of Health And Human Services → National Institutes Of Health

ContactsNo contacts available

OfficeN/A

Organization / AgencyDepartment Of Health And Human Services → National Institutes Of Health

Office AddressN/A

ContactsNo contact information available

Full Description

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Performs advanced statistical analysis, data management, and bioinformatics support for prime contractors on NIH Research Education Program projects. Cleans raw data, performs regression analysis, creates data visualizations, and ensures data integrity for publication. Delivers statistical reports, analyzed datasets, and validated research findings.

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