We are working with a pharmaceutical company that is building from the ground up using computation. They have a team made up of Scientists and Machine Learning Engineers that use technologically advanced tools to design groundbreaking therapeutics and medicines. Computational Chemist Job Overview: *A strong background in using computational tools to do structure-based drug discovery. *Develop new datasets for machine learning. *Have a direct impact on multiple internal and external drug discovery projects. *Communicate your insights and experience to the team. *Work with machine learning scientists to help develop and improve models for important molecular properties. *Hit-finding to lead optimization to candidate selection. *Work closely with the team to design and optimize potential new medicines. The ideal candidate has the following experience: Proficient using Computational Chemistry toolkits as part of a structure based drug discovery campaign ( For example MOE, Openeye Schrodinger, MolSoft) Strong background using Computational modeling techniques such as FEP and Docking. Understanding of the physical basis for drug action. DMPK modeling experience. Proficient with writing code and Unix experience Experience with QM/MM modeling.
