Cheminformatician

Description:

We are searching for a cheminformatician to join us in our quest to radically accelerate the development of new drugs through machine learning excellence. You will help identify, clean, prepare, and test datasets; develop ligand- and structure-based featurizations; apply traditional cheminformatics techniques; and evaluate new targets. In this process, you will have the opportunity to build your skills by collaborating with our team of accomplished ML scientists, computational chemists, and medicinal chemists. No knowledge of machine learning is required for this role, but you should possess a strong interest in learning about this promising technology, coupled with hands-on drug discovery experience.

Here is the background we’re looking for:

●M.S. (Ph.D. preferred) in chemistry or a related discipline, with experience in cheminformatics and data science.

●Two or more years’ experience working in small molecule drug discovery.

●Demonstrated skill with chemical informatics including the aggregation, curation, and preparation of large experimental datasets.

●Experience developing and applying cheminformatics techniques to improve hit identification and hit-to-lead processes.

●Strong programming skills in Python and experience with cheminformatics libraries and data analysis tools, including RDKit, Matplotlib, pandas, and seaborn. SQL experience preferred.

●Experience with structure- and ligand-based modeling of small molecule binding affinity and ADMET, including QSAR, molecular docking, and molecular dynamics/ABFE/RBFE is preferred.

●Intellectual curiosity and drive to excel.