Primary responsibilities include collaborating with scientists on experimental design and data analyses, developing statistical and exploratory data analysis software, developing new statistical methodology, and co-authoring research presentations and publications. We collaborate with scientists in a wide range of disciplines, including biology, biochemistry, microbiology, analytical chemistry, chemical engineering, bioprocess development, genomics, bioinformatics, and veterinary medicine, among others. Good oral and written communications abilities are therefore essential, as is the desire to learn enough of the relevant science to interact effectively. Some of the specific statistical areas comprehended by this description include data visualization, multivariate non-parametric methods, pattern recognition, robust methods, Bayesian methods, nonlinear mixed effect modeling, and chemometrics. Equally important, we seek someone able and eager to extend and broaden their statistical expertise to meet new challenges.
Ongoing education is an important part of the job.
Good software skills are essential. Facility in S-PLUS is required. Formal education in non-statistical areas like biology, chemistry, or computer science would also be a big plus. Open Position Biometrics Research Dept. Feel free to include the URL of a personal web page with additional information.