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postdoc opportunity at the Indiana CTSI

From: Bies, Robert R. <rrbies>
Date: Mon, 9 Apr 2012 14:56:06 +0000

The Disease modeling program at the Division of Clinical Pharmacology, Ind=
iana University, Indianapolis, Indiana, is seeking applications for postdoc=
toral positions in methodological and/or applied mathematical modeling of d=
isease state and progression through the Indiana Clinical and Translationa=
l Sciences Institute. This entails non-linear mixed effects modeling, Baye=
sian modeling and Monte-Carlo Simulation techniques. The group offers a s=
timulating 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 th=
e methodological/theoretical.

Applied Projects
Development of pharmacometric models to describe and predict (patho-)physio=
logical processes relating to disease state and disease progress and the pa=
ttern and magnitude of exposure to a given pharmacologic agent. Specific t=
herapeutic areas of interest include acute renal failure, psychiatry, hyper=
tension, oncology and traumatic brain injury. These studies are not limite=
d to model development and hypothesis testing, but also include the potenti=
al to use models to guide experimental/clinical trial design and hypothesis=
Applicants should have demonstrated experience and proficiency in some aspe=
ct of mathematical modeling (NONMEM(r), MATLAB(r), SAS(r), S(r), R, BUGS et=
c.) as well as a basic knowledge of statistics, biology, physiology and pha=
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 me=
thods including, but not limited to, automated machine learning and genetic=
 algorithms. Applicants should have a high level of proficiency in scripti=
ng, mathematical modeling, code based analysis, interpreted analysis for da=
ta analysis purposes. A basic knowledge of statistics as well as an unders=
tanding 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 prerequisi=

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 accommoda=
tions for qualified persons with disabilities.

Please send a CV and a letter of interest to Robert Bies (rrbies

Robert R. Bies Pharm.D.Ph.D.
Associate Professor of Medicine and Medical Genetics
Division of Clinical Pharmacology
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)

Received on Mon Apr 09 2012 - 10:56:06 EDT

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