Computational Chemist at Silicon Therapeutics; a leading computational drug discovery start-up
Candidate will enable company to develop INSITE infrastructure and ensure the capability to run multiple drug discovery programs.
Curate large library of commercially available chemicals with an emphasis on a large chemical space of drug-like compounds - Work on expanding compound library and improve accuracy of 3D structures using QM/MM MD simulations - Evaluate dynamics of in house protein targets and interface with structural biologists - Validate in house in silico drug discovery processes using the DUD and interface with drug discovery teams to support validation
Ph.D. in computational chemistry, medicinal chemistry, organic chemistry, physical chemistry, or biochemistry - Experience with a Unix/Linux environment, and scripting languages (e.g. Bash and Python) - Experience running MM and QM/MM molecular dynamics simulations and interpreting results - Experience in structure-based drug design and virtual high-throughput screening projects - Demonstrated track record of advancing drug discovery projects and publication record in top quality journals
Track record of progressing compounds towards clinical candidates - Experience in medicinal chemistry including SAR analyses - Experience with C/C++ and parallel programming, especially for GPUs (e.g. MPI, OpenMP, OpenACC, CUDA C/C++/Fortran)