Work with multidisciplinary team comprised of computational chemists, 
chemists and biologists in the application of computational techniques 
to design compounds and or libraries with a program or target class focus. 
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.

In depth knowledge of several techniques for computer aided drug design.
Familiarity with methods for conformer analysis and optimization, de novo 
drug design, molecular mechanics, quantum mechanics, library design, QSAR 
and virtual screening. Familiarity with chemistry would be an advantage. 
Competency in programming in C and C++ and in scripting languages such as 
Perl and Python would be an advantage. A strong aptitude and desire to 
learn and apply new techniques is expected. Personal attributes of 
integrity, creativity, problem solving, and strong work ethic. Excellent 
communication skills. PhD in Computational Chemistry or related field is 
required. 2 years post doc or industrial experience preferred. Experience 
in Computational Chemistry is required.

To be considered an applicant, you will need you to apply directly to the 
position. To do so you will need to go to www.bms.com/career/data, explore 
opportunities at BMS and than click on join now which will take you 
through the steps to register as a candidate. After you have completed 
the registration, you will be able to do a detailed search for 
requisition 24666 and apply directly.