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U.S. Department Of Health And Human Services·Maryland

Data Processing and Related Services for NIMHD DIR’s Chronic Disease Prevention Initiative

Closes 8/2/2026$100k – $300kSole Source
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Description

The National Institutes of Health (NIH) intends to negotiate and award a contract to Black Canyon Consulting LLC for data processing and related services in support of the NIMHD DIR’s Chronic Disease Prevention Initiative. The initiative aims to reduce the burden of chronic diseases in the United States by engaging with communities and developing gold-standard interventions. The contract will be awarded without full and open competition, and interested parties may submit a capability statement or proposal to be considered. The proposal should include a technical proposal, cost-price proposal, period of performance, Unique Entity ID, Taxpayer Identification Number, and certification of business size. Key aspects of the job include: • Data processing and related services for the NIMHD DIR’s Chronic Disease Prevention Initiative • Reducing the burden of chronic diseases in the United States • Engaging with communities to develop and implement gold-standard interventions • Supporting research and training programs to advance knowledge and understanding of health disparities • Developing effective interventions in community and clinical settings

Attached files

Contact

Michael Falzone(Contracting Officer)

[email protected]

Key dates

Opened
7/23/2026
Closes
8/2/2026

Last updated

Details

Type
Sole Source
Industry
Information Technology and Software Development
NAICS
518210
Solicitation №
75N98026Q00853

Budget estimate

$100,000 – $300,000

The budget for this contract is not explicitly stated, but based on the simplified acquisition threshold of $350,000, it can be estimated that the contract value will be below this amount. Considering the scope of work, which includes data processing and related services for a chronic disease prevention initiative, the budget could be in the range of $100,000 to $300,000. Factors that may influence the likely payment range include the complexity of the data processing services, the duration of the contract, and the level of expertise required.

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