The University of Texas MD Anderson Cancer Center seeks an AI-driven Computational Chemist to conduct both routine and novel analyses for the A3D3a platform. Responsibilities include proposing chemical matter with generative models, developing QSAR/QSPR models, and collaborating with senior scientists on AI-based drug discovery for cancer therapeutics.
Ideal candidates hold an advanced degree and have Python, PyTorch, and cheminformatics experience, including RDKit, PyMol, and VMD, with a strong
#J-18808-LjbffrAI-Driven Cheminformatics Scientist (Hybrid/Remote) in houston at Unknown Company
This position is listed as full time and onsite.