The Samudrala group at the University of Washington in Seattle is seeking to recruit 2-3 postdoctoral fellows to work on the Computational Analysis of Noval Drug Opportunities (CANDO) drug discovery project funded by a 2012 NIH Director's Pioneer Award (http://cando.compbio.washington.edu). The project goals are to screen all human ingestible compounds against all proteins (primarily solved protein structures) computationally to identify new uses for existing drug compounds. Computational hits/leads are verified in vitro quickly followed by clinical studies (since all compounds studied initially are FDA approved drugs) for more than 30 indications with the aid of numerous collaborations.
We are looking for individuals with the passion and skill set to help us complete and deploy the pipeline for maximal benefit. Particularly we are interested in a pipeline developer who would ideally be an expert on machine learning techniques that will help integrate the chem- and bioinformatic data with docking simulations, i.e., create a more robust and automated pipeline that is adaptable to individual indications and genotypes. We are also interested in a docking code developer that will help implement the third version of the fragment-based docking with dynamics protocol we have developed and integrate the pipeline and docking methodology as a systems-based drug discovery product.
Gaurav Chopra is the overall project manager of CANDO, is the person who you'd closely work with should you accept this position. So please talk to him and if you're interested in this position, and if you feel the project is a good fit for you, send us both your CV and a brief statement of interest to email@example.com and firstname.lastname@example.org.