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Technical Training and Knowledge Transfer for Research Staff

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Federal

Contract Overview

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

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The contract entails providing technical training and knowledge transfer to NIH staff on the proper and safe operation of the Bioruptor® Pico, covering parameter optimization, routine maintenance, and troubleshooting procedures. Training may be delivered either on-site or virtually, ensuring flexibility to accommodate staff schedules and locations. The scope focuses on equipping research personnel with the skills necessary to maximize instrument performance while adhering to safety protocols and best practices. This subcontract is issued under the Department of Health and Human Services with a NAICS code of 611430, indicating a focus on professional and commercial training services. The solicitation was posted on July 9, 2026, with a response deadline of July 24, 2026. The place of performance is identified as a ZIP code of 20892, suggesting operations primarily centered around the NIH campus in Bethesda, Maryland. While specific point of contact details are not provided, the contract is accessible through the SAM.gov portal using the listed UI link.

General Info

Provide Bioruptor® Pico training to NIH staff on safety, maintenance, and optimization, on-site or virtual, at Bethesda, Maryland.

Agency

Department Of Health And Human ServicesView Agency

NAICS

611430 - Professional and Management Development TrainingView NAICS

Place of Performance

MD, 20892, USA

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

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Organization & Contact Information

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AgencyDepartment Of Health And Human Services
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Health And Human Services
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Office AddressN/A
ContactsNo contact information available

Full Description

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Deliver on-site or virtual training for NIH staff on safe and effective use of the Bioruptor® Pico, including parameter optimization, maintenance, and troubleshooting.

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