postdoc opportunity at the Indiana CTSI

The Disease modeling program at the Division of Clinical Pharmacology, Indiana University, Indianapolis, Indiana, is seeking applications for postdoctoral positions in methodological and/or applied mathematical modeling of disease state and progression through the Indiana Clinical and Translational Sciences Institute. This entails non-linear mixed effects modeling, Bayesian modeling and Monte-Carlo Simulation techniques. The group offers a stimulating modeling environment with active interactions and collaborations with biostatistics, computational biology and bioinformatics. The projects that fellows would be involved in fall into two tracks, the applied and the methodological/theoretical. Applied Projects Development of pharmacometric models to describe and predict (patho-)physiological processes relating to disease state and disease progress and the pattern and magnitude of exposure to a given pharmacologic agent. Specific therapeutic areas of interest include acute renal failure, psychiatry, hypertension, oncology and traumatic brain injury. These studies are not limited to model development and hypothesis testing, but also include the potential to use models to guide experimental/clinical trial design and hypothesis generation. Applicants should have demonstrated experience and proficiency in some aspect of mathematical modeling (NONMEM(r), MATLAB(r), SAS(r), S(r), R, BUGS etc.) as well as a basic knowledge of statistics, biology, physiology and pharmacology. Excellent spoken and written English communication skills are prerequisite. Methodology and theoretical projects Evaluations of model solutions and the determination of systems with strong feedback characteristics and/or nonlinear dynamic characteristics using methods including, but not limited to, automated machine learning and genetic algorithms. Applicants should have a high level of proficiency in scripting, mathematical modeling, code based analysis, interpreted analysis for data analysis purposes. A basic knowledge of statistics as well as an understanding in representing and analyzing complex systems would be beneficial. Programming experience in C++, C#, .NET, Matlab or equivalent is preferred. Excellent spoken and written English communication skills are prerequisite. Indiana University is an equal opportunity / affirmative action institution. We encourage applications from women and other underrepresented groups. In addition, it is the University's policy to provide reasonable accommodations for qualified persons with disabilities. Please send a CV and a letter of interest to Robert Bies ([email protected]<mailto:[email protected]>) Robert R. Bies Pharm.D.Ph.D. Associate Professor of Medicine and Medical Genetics Division of Clinical Pharmacology Member Center for Computational Biology and Bioinformatics Indiana University School of Medicine 1001 W 10th Street W7138 Indianapolis, IN 46202 317-630-7868 (office) 317-630-8185 (fax)