Bristol-Myers Squibb 
www.bms.com
Location: Princeton, NJ

Position Description: Work with multidisciplinary team 
comprised of computational chemists, chemists, biologists, 
bioinformaticians and IT personnel to analyze and visualize 
target class data. Identify correlations between screening 
data and cell based and functional assays. Predict and rationalize 
selectivity, potency, function of selected compounds. Develop 
binding poses of compounds with their respective targets. Analyze 
data to identify target profiles.

Position Requirements:Ph.D. in Computational Chemistry or related field. 
Excellent communication skills. 2 years post doc or industrial experience 
preferred. In depth knowledge of several techniques for computer aided 
drug design. Expertise in small molecule drug design methods and QSAR. 
Familiarity with methods for conformer analysis and optimization, 
de novo drug design, molecular mechanics, quantum mechanics, binding 
free energy prediction, and virtual screening. Familiarity with methods 
for conformer analysis and optimization, de novo drug design, molecular 
mechanics, quantum mechanics, binding free energy prediction, 
cheminformatics, and virtual screening. Competency in programming in 
C and in scripting languages such as Perl and Python would be an 
advantage. An aptitude and desire to learn and apply new techniques is 
expected. A basic knowledge of medicinal chemistry and biology. Personal 
attributes of integrity, creativity, problem solving, and strong work 
ethic.

  
We invite all qualified individiuals to apply online via our Career 
Website, which www.bms.com and then click on the "Careers" tab.  
Please apply to position #24204.

Bristol-Myers Squibb co. is an equal opportunity employer.