Extraordinarily gifted computational chemists, biologists, and other
computational scientists are sought to join a rapidly growing 
New York-based research group that is pursuing an ambitious, long-term 
strategy aimed at fundamentally transforming the process of drug discovery.

Candidates should have world-class credentials in computational chemistry, 
biology, or physics, or in a relevant area of computer science or applied 
mathematics, and must have unusually strong research skills.  Relevant 
areas of experience might include protein structure prediction, the 
computation of protein-ligand binding affinities, the study of 
biologically important systems using molecular dynamics and/or Monte Carlo 
simulation, and the application of statistical mechanics to biomolecular 
systems but specific knowledge of any of these areas is less critical than
exceptional intellectual ability and a demonstrated track record of 
achievement.  Current areas of interest within the group include molecular
dynamics simulation of functionally significant globular and membrane 
proteins, the prediction of protein structures and binding free energies, 
structure- and ligand-based drug design, characterization of 
protein-protein, protein-nucleic acid and protein-lipid interactions, and 
the development of algorithms for biomolecular simulations.

This research effort is being financed by the D. E. Shaw group, a global 
investment and technology development firm with more than US $30 billion 
in aggregate investment capital.  The project was initiated by the firm's 
founder, Dr. David E. Shaw, and operates under his direct scientific 
leadership.  

We are eager to add both senior and junior-level members to our 
world-class team, and are prepared to offer above-market compensation to 
candidates of truly exceptional ability. 

Please send your curriculum vitae (including list of publications, thesis 
topic, and advisor, if applicable) to ccl-chem(_)career.DEShawResearch.com.

D. E. Shaw Research does not discriminate in employment matters on the 
basis of race, color, religion, gender, pregnancy, national origin, age, 
military service eligibility, veteran status, sexual orientation, marital 
status, disability, or any other protected class.