UAB Statistical Genetics Post-doctoral Training Program

Abstract

The pre-doctoral training program at the University of Alabama supports fellowships for students who wish to receive rigorous training in cutting-edge technologies in statistics, genetics, molecular biology, genomics, and bioinformatics. Candidates should have strong quantitative training including calculus and linear algebra and understand and are comfortable working with both biology and math. UAB's Biostatistics Dept's Section on Statistical Genetics (SSG) offers post-doctoral fellowships positions in Statistical Genetics, Genetic Epidemiology, Microarray Analysis, or Proteomic Analysis. The post-doctoral training program is designed for students with PhDs in the statistical, mathematical, computational, or biological sciences who seek training at the interface between statistical and molecular genetics. Criteria for selection include demonstrated research ability in statistics or a relevant scientific discipline, interest and (to a lesser degree) experience in project areas, strength in computation and in verbal and written communication, and genuine commitment to methodological and cross-disciplinary research in quantitative genetics.

Areas of Special Emphasis

Association and linkage disequilibrium analysis of Complex Traits, Analysis of large complex pedigrees, Microarray analysis, Bayesian methods in gene mapping, Admixture mapping, Analysis of experimental crosses.

Type of Training: Pre-doctoral and Post-doctoral

Key Faculty Available as Preceptors

David B. Allison, Ph.D., Biostatistics (Nutrition Sciences, Medicine)
Association, Linkage Disequilibrium, Microarrays, Obesity, Empirical Bayes

Hemant K. Tiwari, Ph.D., Biostatistics
Association, Linkage, Admixture, Molecular Evolution, Bioinformatics, DNA Pooling

T. Mark Beasley, Ph.D., Biostatistics
Admixture, Association and Linkage, Variance Components, Non-parametric Methods

Jose R. Fernandez, Ph.D., Nutrition Sciences (Biostatistics)
Admixture mapping, Genetics of Obesity

Rodney Go, Ph.D., Epidemiology
Genetic Epidemiology, Population Genetics, Alzheimer's disease

Grier P. Page, Ph.D., Biostatistics
Microarrays, Proteomics, Linkage, Disequilibrium, Bioinformatics

Nengiun Yi, Ph.D., Biostatistics
Experimental Cross, Mapping using Bayesian Methods, Variance Components

Donna K. Arnett, Ph.D., Epidemiology
Genetic Epidemiology, Pharmacogenetics

Last updated: January, 2007

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