Postdoc Positions Indiana University

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 progressionthrough 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.Current therapeutic areas of interest include acute renal failure, psychiatry, Multiple Sclerosis, HIV, 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 (e.g. mechanistic models and/or systems pharmacology).Experience with NONMEM, Monolix and/or BUG is prerequisite. Programming experience in Matlab, R or equivalent is preferred.Excellent spoken and written English communication skills are prerequisite. Applicants should have demonstrated experience and proficiency in some aspect of mathematical modeling 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 evolutionary 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, SAS, Mathematica 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. -- Nieves Velez de Mendizabal, Ph.D CTSI Disease and Therapeutic Modeling Program Fellow Division of Clinical Pharmacology, IU School of Medicine 1001 West 10th Street, W7138A Indianapolis, IN 46202 317-630-8815 (office) [email protected]