A one-year post-doc position is available per September 2006 based in Mölndal, Sweden, in the field of computational (in silico) approaches to drug metabolism. The project will focus on two areas, namely 1) building QSAR models for metabolic stability and clearance, and 2) extending our capabilities for CYP3A4 modelling.
 
In project 1) we will explore in-house and external databases using a range of statistical approaches such as support vector machines, Bayesian neural networks, recursive partitioning, partial least squares and our set of descriptors and fingerprints.
 
In project 2) available x-ray information will be used to optimise docking protocols and build a better understanding of ligand conformations. Protein structure and ligand information will be combined to develop predictive models for binding and inhibition. Typical tools include Glide, GOLD, GRID, GOLPE, and ALMOND.
 
Qualifications:
 
Study in Chemistry, Biochemistry, Pharmacology or related subject, with a PhD thesis using computational chemistry technologies such as QSAR, molecular modelling, or chemoinformatics. Knowledge of drug metabolism would be a plus. Fluent in English.
 
Contacts for further information:
 
Han van de Waterbeemd: han.vandewaterbeemd [at] astrazeneca.com
Lovisa Afzelius: lovisa.afzelius [at] astrazeneca.com
 
Please send your application and CV marked ”Computational chemist 71-11600”, via “Apply Now” no later than June 14, 2006. We will only handle applications received via our website: www.astrazeneca.com