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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=
 generation.
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=
rmacology.
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=
te.

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
mailto:rrbies







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)


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

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