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Postdoctoral position - Mechanism-based Pharmacokinetic Modeling for Human Health Assessment

From: huali wu <huali.wu>
Date: Sat, 30 May 2015 14:15:46 -0400

Dear NONMEM users:

The Hamner Institutes for Health Science is seeking a motivated,
self-driven individual to work in the Center for Human Health Assessment as
post-doctoral fellow.

In our new research program, we are developing an integrated computational
modeling approach to better understand biomarkers of chemical exposure
associated with human health effects observed in epidemiological studies.
Our current focus is on reproductive health effects (altered timing of
puberty, lower birthweight, and early onset of menopause) and disease
conditions (thyroid disease and endometriosis). Our models integrate a
variety of factors that determine chemical disposition in the body,
including dynamic changes in human physiology, biology and exposure
characteristics occurring over a life-time. Our approach will help to
discern true effects of chemicals on health outcomes by determining whether
hidden correlations between characteristics of a given health outcome and
determinants of chemical kinetics can explain an observed epidemiological
association. Incorporation of detailed physiological information for
various life stages into the modeling platform is necessary to provide a
quantitative evaluation of reported chemical-heath outcome associations.
Our goal is to provide a scientifically sound tool to assess the potential
for effects of chemicals on human health.

This position entails the development and application of kinetic and
statistical models that incorporate data from a variety of fields including
physiology, biology, pharmacokinetics, toxicology, and exposure
characterization to simulate chemical biomarkers in humans at the
population level. The candidate will also work closely with other members
in the team to analyze the model outcomes and compare them to actual
epidemiological studies. She/he will have an opportunity to design
experimental studies to validate the model assumptions.

A Ph.D. degree is required. Preferred areas of study include
pharmacokinetics, computer science, engineering, physics, biostatistics, or
related field with a rigorous foundation in applied and quantitative
science. Experience with at least one programming or scripting language is
required and experience with computational modeling is preferred.
Experience working with biological data (either computationally or
experimentally) is preferred but not strictly required. Strong
communication skills and a willingness to collaborate is a must.

*How to Apply*
You can directly contact Dr. Miyoung Yoon (MYoon
Qualified candidates need to submit their resume and General Application,
which can be found at,
to koverman
919-558-1430. Please refer to the "Postdoc CHHA" position. “Equal
Opportunity / Affirmative Action Employer – male/female/disability/=
Kind regards,
Huali Wu, Ph.D.

Duke Clinical Research Institute

Durham, NC

Received on Sat May 30 2015 - 14:15:46 EDT

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