SOURCES SOUGHT
B -- Senior Statistician - EPIBio
- Notice Date
- 12/18/2013
- Notice Type
- Sources Sought
- NAICS
- 541712
— Research and Development in the Physical, Engineering, and Life Sciences (except Biotechnology)
- Contracting Office
- Department of Health and Human Services, National Institutes of Health, Clinical Center/Office of Purchasing & Contracts, 6707 Democracy Blvd, Suite 106, MSC 5480, Bethesda, Maryland, 20892-5480
- ZIP Code
- 20892-5480
- Solicitation Number
- HHS-NIH-CC-SBSS-14-001803
- Archive Date
- 2/1/2014
- Point of Contact
- Brian J. Lind, Phone: 301-402-0735
- E-Mail Address
-
LindBJ@cc.nih.gov
(LindBJ@cc.nih.gov)
- Small Business Set-Aside
- N/A
- Description
- The National Institutes of Health, Clinical Center (CC) is conducting a sources sought to help determine the availability and technical capability of qualified small businesses, veteran-owned small businesses, service disabled veteran-owned small businesses, HUBZONE small business or Women Owned Small Businesses capable of serving the needs mentioned below. This sources sought announcement is not a request for proposals and the Government is not committed to award a contract pursuant to this announcement. The information from this sources sought is for planning purposes only and will assist the Government in planning its acquisition strategy. This is strictly a sources sought and the Government will not entertain questions concerning this sources sought. The Government will not pay for any costs incurred in the preparation of information for responding to this sources sought. The Rehabilitation Medicine Department (RMD), Epidemiology and Biostatistics Section within the Mark O. Hatfield Clinical Research Center, currently seeks an senior level statistical support services to address open analytic problems of central importance to our work with the SSA. SPECIFIC TASKS The areas for which task orders shall be issued include, but are not limited to the following: 1. Conduct extensive and critical literature reviews of analytic methods that have been applied across a broad range of scientific fields in order to identify the most useful methods to be applied to SSA project-related problems; 2. Apply, extend, or develop statistical and mathematical methods to address problems identified by the E&B section staff of relevance to the SSA project; Sample open technical problem is as follows: Given an n-dimensional real-valued vector Yn = (y1, y2,.. yn)T with corresponding covariates Xn =(x1, x2,.. xn)T, each xi is a d-dimensional row vector, i.e., X is an n x d matrix in a linear regression model of Y =β X + ε, a method is needed to select and delete some components of X (not deleting whole columns) in a way that would minimize the mean square error of estimated regression coefficients MSE(β), while taking into consideration the computational complexity of any methods considered. A method is needed for both when ε is identically and independently distributed and when it is not. 3. Disseminate methods in top ranking, peer-reviewed statistics/biostatistics journals; 4. Provide instruction in areas of substantive expertise to E&B staff, trainees, or other consultants (as requested); • Provide instruction in statistical, mathematical or computational methods including critical review and discussion of seminal publications; • Provide instruction in / advise on use of analytic software; • Conduct in-services for E&B staff and trainees as requested. MINIMUM QUALIFICATIONS • Extensive educational background in mathematics, statistics and advanced computational methods; minimum qualifications include a Ph.D. degree in Statistics, 10 years or more of experience in statistical and numerical methods, and experience training post-doctoral fellows. • Breadth and depth of knowledge of statistics and applied statistics, including Bayesian and Frequentist methods, nonparametric/parametric/semi-parametric models, statistical genetics, biostatistics, clinical trials, clustering/classification, U-statistics, empirical likelihood, expectation-maximization (EM) algorithm s, Markov Chain Monte Carlo (MCMC) methods, handling missing data, methods of survival analysis, Density Estimation, Convolution, copula methods, model selection methods, edge worth expansion, rank methods, sieve methods, quantile regression, robust statistics, functional data analysis, information bounds, and functional delta methods as demonstrated by scientific and academic work and publications; • Substantive, advanced knowledge of math, including abstract algebra, functional analysis, law of large numbers, central limit theorem, weak convergence theory, adjoint operator methods, and Martingale methods as demonstrated by scientific and academic work and publications; • Knowledge of and extensive experience using computational software such as R and C; • The ability to provide expert technical consultation on complex statistical and computing techniques; • An extensive publication record in top ranking statistics/biostatistics journals as evidenced in a current curriculum vitae which include first-authored publications. Publications should span the fields of statistics, biostatistics, computational biology, theoretical biology, bioinformatics, and statistics in medicine. • Ability to communicate effectively, verbally and in writing; • Period of Performance: The Government is anticipating a base year with a 12 month period of performance and 4 subsequent option years consisting of 12 months each. The vendor responses must demonstrate their expertise in ALL of the areas described above. Please note that failure to specifically demonstrate capability to provide the required services in your response to this market survey may affect the Government's review of industry's ability to perform these services. The vendor's response shall be in sufficient detail to allow the Government to assess the capability of your firm. The vendor response shall also include any other specific and relevant information related to the requirements of this project that will enable the Government to determine the capabilities of the company to perform the specialized requirements described in this synopsis. Interested organizations must demonstrate and document in any response submitted, to this market survey extensive experience with and the ability to perform all of the specialized requirements elsewhere described. This notice is a sources sought and is for information and planning purposes only and does not commit the Government to any contractual agreement. THIS IS NOT A REQUEST FOR PROPOSALS. The Government will not award a Purchase Order or Contract based upon Vendor responses to this announcement. The Government shall not assume any costs for preparing or submitting any information in response to the market survey or the Government's use of the information. Any proprietary information should be clearly identified as "proprietary information". Vendors must send written capability responses by December 20, 2013 to the Contract Specialist at the following e-mail address lindbj@cc.nih.gov.
- Web Link
-
FBO.gov Permalink
(https://www.fbo.gov/spg/HHS/NIH/CCOPC/HHS-NIH-CC-SBSS-14-001803/listing.html)
- Place of Performance
- Address: National Institutes of Health, Clinical Center, Department of Rehabilitation Medicine - EpiBio Section, 6100 Executive Boulevard, Rockville, Maryland, 20892, United States
- Zip Code: 20892
- Zip Code: 20892
- Record
- SN03254139-W 20131220/131218235018-7b22051647e5d7e12d680ff78d7a4418 (fbodaily.com)
- Source
-
FedBizOpps Link to This Notice
(may not be valid after Archive Date)
| FSG Index | This Issue's Index | Today's FBO Daily Index Page |