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Bioinformatics and Data Quality Assurance

Active
Federal

Contract Overview

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

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The contract titled "Bioinformatics and Data Quality Assurance" focuses on ensuring the accuracy, consistency, and integrity of scientific data through methods such as data cleaning, outlier detection, cross-referencing, and quality control reporting. These activities are aimed at maintaining regulatory compliance, which is critical in scientific and medical research contexts. The work is designated as a subcontract under the NAICS code 541690 and is overseen by the FDA Office of Acquisition and Grant Services within the Department of Health and Human Services. The performance of the contract is based in Silver Spring, and while several logistical details such as the solicitation number and specific contact information are not provided, the primary objective is clear—to support the FDA's regulatory functions by validating and assuring the quality of abstracted data. This contract underscores the importance of rigorous data management in compliance with governmental standards and scientific integrity.

General Info

Subcontract ensuring scientific data accuracy and regulatory compliance for FDA, based in Silver Spring.

NAICS

541690 - Other Scientific and Technical Consulting Services

Place of Performance

Silver Spring, MD, USA

Set-Aside

NONE

Documents

This scope was carved out of 75F40126P00053.

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

View the prime solicitation

Justification-Center for Biologics Evaluation and Research (CBER) Scientific Data Abstraction and Information Management

AI Contract Breakdown

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Timeline

Posted

subcontract

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Organization & Contact Information

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AgencyDepartment Of Health And Human Services → FDA Office Of Acq Grant Svcs
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Validate accuracy, consistency, and integrity of abstracted scientific data through cleaning, outlier detection, cross-referencing, and quality control reporting for regulatory compliance.

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