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R -- Statistical Consulting for Circular Statistics and Rotational Entropy Project

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Reference-Number-HELD03B0086Federal

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The National Institute for Occupational Safety and Health (NIOSH) in Morgantown, WV, is seeking advanced mathematical statistical consultation services to support the Circular Statistics and Rotational Entropy project. This project requires experts with specialized knowledge in computational programming and the development of new statistical methods in circular statistics. Specifically, the contract calls for three types of specialists: a senior-level principal investigator with supervisory experience and computational programming skills; a theoretical mathematical statistician skilled in developing novel circular statistics methods using tools such as Fourier series expansions, von Mises distributions, non-parametric nearest neighbor techniques, and multivariate normal methods; and an experienced computer programmer with statistical training proficient in multiple programming languages capable of conducting simulations relevant to computational biology. Organizations interested in providing these services were invited to respond within 10 days of the notice’s posting, supplying documentation to demonstrate their qualifications. The government emphasized that responses would be evaluated solely to determine the necessity of competitive procurement. If no qualified responses are received within the designated time frame, the contract is to be awarded directly to West Virginia University Research Corporation under sole source authority. All information submitted is considered confidential and will inform the government’s decision-making regarding competition for this specialized contract.

General Info

NIOSH seeks experts in circular statistics, computational programming, and new statistical methods for project.

Agency

N/A

NAICS

541720 - Research and Development in the Social Sciences and Humanities

Place of Performance

Not specified

Set-Aside

NONE

Documents

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Full Description

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NOTICE OF INTENT TO SOLE SOURCE. The National Institute for Occupational Safety and Health, ALOSH, Morgantown, WV requires advanced mathematical statistical consultation services in support of statistical methods development and programming services for the Circular Statistics and Rotational Entropy project involving highly specialized statistics. The types of individuals required include (1) a principal investigator who needs to be a senior level statistician highly trained in computational programming with supervisory experience; (2) a theoretical mathematical statistician with experience, who is capable of developing new statistical methods in the field of circular statistics (including experience with Fourier series expansion, von Mises circular distributions, non-parametric nearest neighbor approaches, and multivariate normal methods as they relate to circular statistics in this project); and (3) an experienced computer programmer with statistical training, multiple programming languages and the capability of performing a variety of computer simulations involved in this project (e.g. molecular dynamic simulations in computational biology). Organizations that believe they can provide the required services are encouraged to identify themselves to the Contracting Officer within 10 days from the posting date of this notice. Interested parties shall provide documentation which demonstrates that they have the expertise and capabilities necessary to meet the stated requirements. Please forward capabilities and supporting information to: Brenda L. Goodwin., Reference: #HELD03B0086, DHHS, PHS, CDC, NIOSH, ALOSH, 1095 Willowdale Road, Morgantown, WV 26505. A determination by the Government not to compete this proposed action based on responses to this notice is solely within the discretion of the Government. Information received will solely be used for the purpose of determining whether to conduct a competitive procurement. If no affirmative responses are received within 10 days, award will be made to West Virginia University Research Corporation under the authority of FAR 6.302-3. All information received will be considered by the Government.

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