The Disease modeling program at the Division of Clinical Pharmacology, Indiana
University, Indianapolis Indiana, has received federal grant funding through
the Clinical and Translational Sciences Institute for postdoctoral positions in
methodological and/or applied mathematical modeling of disease state and
progression. 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 within the
division of clinical pharmacology as well as with biostatistics, computational
biology and bioinformatics. The projects that fellows would be involved in fall
into two tracks, specifically 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 includes 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. 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.
Send letter of interest, curriculum vitae and names of three references to:
Division of Clinical Pharmacology
Attn:Robert Bies
Myers Building, WD W7123
1001 W. 10th Street
Indianapolis, IN 46202
[email protected]
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.