Job
Description
We set the record for the largest scientific cloud computing run, and our software suites continue to transform the design of therapeutics and materials. FEP+, WaterMap, Glide, Maestro, and LiveDesign are just a few examples of the applications we ve created. We are looking for a resourceful candidate to join our team based out of the firm s office in Hyderabad, India. The position requires providing instant and thorough scientific support to customers worldwide. WHO WILL LOVE THE JOB: A computational chemist/biologist/pharmacist with experience in the area of drug discovery / pharmaceutical / medicinal applications of molecular modeling software tools like Schrodinger, AMBER, CHARMM, NAMD, Gromacs etc. A strong problem-solver who s familiar with high-performance computing clusters and queuing systems A keen Python programmer and shell scripting experience A quick-thinking customer supporter who enjoys helping others solve problems An excellent communicator with impeccable interpersonal and organizational skills WHAT YOU LL DO DAY-TO-DAY: Aid the Schr dinger community with scientific and technological advice and support Guide technical deployment of Schr dinger software in high-performance computing environments (which include clusters, cloud platforms, and GPUs) Provide pre-and post-sales, scientific, and software support for Schrodinger products Respond promptly over email to queries posed by customers from the global scientific community within a shift system Collaborate with the scientific team and sales team to resolve customer issues and provide scientific guidance Engage in computer-aided cutting-edge scientific research Channel feedback to the development team Work in one or two night shifts in a year, one month is mandatory. WHO WE RE LOOKING FOR: A Ph.D. in Computational Chemistry/Biology/Pharmacy or post Ph.D. with zero to two years of relevant experience in the area of computer-aided drug designing or Master s degree in Chemistry/Organic Chemistry / Bioinformatics / Pharmacoinformatics with a minimum of 4 to 5 years of industry experience in computer-aided drug designing Exposure to tools like Schrodinger, AMBER, GROMACS, Cresset, NAMD, or any other relevant computational tools A desire to publish scientific papers, if possible Exposure to IT, familiarity with Linux environment, and should be comfortable with either of Bash, Python or R A team player with skillful verbal and written communicator A self-starter who enjoys solving problems, can think innovatively and troubleshoot when required
