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Biometric Research Program (BRP)

Welcome to the Biometric Research Program

The Biometric Research Program consists of a Biostatistics Branch and a Computational & Systems Biology Branch. The Biostatistics Branch provides statistical leadership and oversight for the national program of therapeutic and diagnostic clinical trials of the National Cancer Institute as well as translational research in developmental therapeutics, diagnostics and cancer imaging. The Biostatistics Branch also conducts research in methods for the design, monitoring and analysis of clinical trials and related studies. It consists of doctoral level statisticians.

The Computational & Systems Biology Branch collaborates in the pre-clinical programs of the DCTD to utilize genomic and proteomic technology to identify molecular targets, resistance mechanisms and effective new drugs, drug combinations and biomarkers for guiding treatment. Members of the Computational & Systems Biology Branch conduct research on mechanisms of carcinogenesis and systems pharmacology. The branch develops bioinformatic systems to support genomic variant based clinical trials and to enhance the ability of biologists and pharmacologists to analyze and interpret genome-wide data. The branch also collaborates in the analysis of genomic data from the clinical trials program of the NCI. The Computational & Systems Biology Branch consists of doctoral level staff with diverse backgrounds such as computational biology, bioinformatics, computer science, biology, pharmacology, medicine and biomedical engineering.

The philosophy of the Biometric Research Program is to have the staff combine two functions: (i) collaboration and consultation with the staff of the DCTD and intramural investigators of the NCI; and (ii) conduct self-initiated research on topics important to cancer research. Combining these functions has enabled the program to recruit and retain an expert staff and to provide the highest quality collaborations to DCTD and NCI scientists. It has also enabled the program to conduct research that has impacted the field and is motivated by key problems of current cancer research. The program does not have a grant, cooperative agreement or contract portfolio and does not sponsor extramural research.

Associate Director

Richard Simon, D.Sc., Associate DirectorRichard Simon, D.Sc., leads the Biometric Research Program and is chief of the Computational & Systems Biology Branch. He holds a doctoral degree in Applied Mathematics & Computer Science from Washington University in St. Louis Mo. He has developed many of the statistical methods used in cancer clinical trials including dynamically stratified randomization, optimal 2 stage phase 2 clinical trial designs, accelerated titration phase 1 designs, stochastic curtailment for futility monitoring, tests of qualitative treatment by covariate interactions, predictive biomarker based enrichment designs, adaptive biomarker driven clinical trial designs and Bayesian methods for subset analysis, factorial clinical trials, and active control clinical trials. Dr. Simon is a leader in the development and use of predictive biomarkers in therapeutic research. More…


Dr. Richard Simon will be the 2017 recipient of the Marvin Zelen Leadership Award in Statistical Science. This award recognizes an individual who by virtue of his/her outstanding leadership has greatly impacted the theory and practice of statistical science. Dr. Simon will deliver a public lecture on statistical science at T. H. Chan School of Public Health at Harvard University.

Dr. Simarjeet Negi joined our program on Feb. 1, 2017; Dr. Jared Foster joined our program on Jan. 9, 2017; Dr. Laura Yee joined our program on Dec. 1, 2016.

Translational Computational & Systems Biology post-doctoral fellow positions are available (Jan. 20, 2017). [click for details]

BRB-SeqTools v1.0 is released (Oct. 19, 2016). [click for details]