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This Government Contract opportunity from Department Of Health And Human Services was posted on June 8, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Statistical Analysis and Reporting

Closed
Federal

Contract Overview

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

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NAICS: 541620
New
Federal
B--ONYX RANCH SVRA PROJECT
Solicitation # 140G0326Q0218
Solicitation 140G0326Q0218 is a request for quotation from the Department of the Interior for advanced statistical modeling and assistance for the Onyx Ranch State Vehicle Recreation Area. The project requires a contractor to analyze a 289-hectare dataset to identify critical issues and map occurrences of invasive species, fire-prone grasses, and protected species, including the desert tortoise and western Joshua trees. Key deliverables include publication-quality figures, distribution maps, and statistical models developed using ArcGIS and various advanced methodologies such as general linear mixed effects models and k-means clustering. The estimated period of performance is from October 1, 2026, to February 28, 2027, with work performed at the vendor's facility. The award will be based on a tradeoff method, requiring contractors to demonstrate advanced statistical expertise through peer-reviewed publications from the last 15 years and proficiency in complex spatial and non-parametric analysis. Required submission documents include a signed SF 18 form, a firm fixed-price quote, a technical submission detailing qualifications, a list of prior relevant contracts with references, and a SAM UEI. Initial drafts of specific tasks are due within 60 days of award, with model drafts due within 90 days. All deliverables become government property, and invoicing must be submitted based on hourly rates and hours worked. Responses are due to the contracting officer by September 17, 2026, at 1500 PST.
Office Of Acquisiton Grants

POSTED

about 12 hours ago

DEADLINE

in 6 days

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This contract involves performing comprehensive statistical analysis of clinical data for the FDA, specifically focusing on managing outliers, validating models, and preparing both interim and final reports in accordance with pre-established methodologies suitable for FDA submission. The work is designated as a subcontract under the NAICS code 541620, indicating professional scientific and technical services. The contract was posted on June 8, 2026, with a response deadline of July 6, 2026. The contract is issued by the FDA Office of Acquisition and Grant Services, part of the Department of Health and Human Services, with the place of performance located in Silver Spring, Maryland, zip code 20993. Although some organizational and contact details are unspecified, the key deliverables emphasize rigorous statistical scrutiny and documentation to support regulatory submissions, ensuring data integrity and compliance with FDA requirements.

General Info

Statistical analysis subcontract for FDA clinical data, outlier management, model validation, and reporting.

Agency

Department Of Health And Human Services → FDA Office Of Acq Grant SvcsView Agency

NAICS

541620 - Environmental Consulting ServicesView NAICS

Place of Performance

Silver Spring, MD, 20993, USA

Set-Aside

NONE

Documents

This scope was carved out of 75F40126R00031.

The full solicitation package (2 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Investigating Associations Between Acute Abuse Liability Outcomes and Switching Behavior

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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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
Organization / Agency
Department Of Health And Human Services → FDA Office Of Acq Grant Svcs
View Agency Profile
Office AddressN/A
ContactsNo contact information available

Full Description

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Perform statistical analysis of clinical data, including outlier handling, model validation, and generation of interim and final reports aligned with pre-specified methods for FDA submission.

More opportunities from Department Of Health And Human Services → FDA Office Of Acq Grant Svcs

Same awarding agency

NAICS: 541714
New
Federal
Human Hindbrain Organoid Functional Assay Services.
Solicitation # RFQ_CDR-2026-135968
The U.S. Food and Drug Administration's Center for Drug Evaluation and Research intends to award a sole-source, firm-fixed-price purchase order to OrganoTherapeutics SARL for human induced pluripotent stem cell (iPSC)-derived hindbrain organoid functional assay services. The project aims to support in vitro research evaluating drug-induced effects on respiratory-relevant neural circuits over an eighteen-month period of performance. The scope of work is divided into two primary components: the provision of human hindbrain organoids and associated culture materials through twelve scheduled deliveries to the FDA White Oak Campus, and the performance of functional characterization services at the contractor's laboratory. Functional characterization will utilize three-dimensional multi-electrode array (3D MEA) technology to assess electrophysiological responses to FDA-identified drug and reversal-agent combinations. Deliverables include the delivery of 96 organoids in the first shipment followed by 48 organoids in subsequent deliveries, as well as raw data, analyzed data, analysis files, and comprehensive study reports. This acquisition is conducted as a commercial service under FAR Part 12, with the government restricting competition based on market research identifying OrganoTherapeutics SARL as the only source capable of meeting the complete requirement for both the specific organoid products and the associated functional assay services.
Research and Development in Biotechnology (except Nanobiotechnology)

POSTED

about 12 hours ago

DEADLINE

in 6 days
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