Description

The postdoctoral researcher will apply a range of computational approaches—including structurebased drug design, homology modeling, QSAR, cheminformatics, ligand/receptor docking, highthroughput virtual screening (HTVS), molecular dynamics, quantum methods, diversity/similarity analysis, and machine learning/artificial intelligence (ML/AI)—to design molecules and guide library development to support multiple drug discovery projects.
Additional responsibilities include:
-Collaborating with multidisciplinary teams and providing expertise in interpreting structural data related to drug targets and their endogenous ligands, agonists, or antagonists.
-Executing computational experiments and communicating results clearly to support ongoing discovery efforts.
-Developing novel computational methods to address key scientific questions in drug discovery.
-Initiating innovative research suitable for external funding and publication in peerreviewed journals.
-Writing abstracts, manuscripts.
-Maintaining a strong code of ethics and scientific integrity.