Assistant Professor in Artificial Intelligence for Drug Discovery and Chemical Biology
Core
Establish an independent, externally funded research program applying AI (machine learning, deep learning, generative modeling) to advance drug discovery and therapeutic development.
Role type
Assistant Professor (tenure-track, research + teaching)
Builds
AI-enabled molecular designs, therapeutic candidates, and chemical probes for drug discovery
Domain
Pharmaceutical sciences, chemical biology, artificial intelligence
Deliverable
production ML models | research
Required skills
machine learning, deep learning, generative modeling, molecular design, virtual screening, ADME prediction, protein/peptide design, biosynthetic engineering, medicinal chemistry, high-throughput screening
Preferred skills
interdisciplinary collaboration, grant writing, teaching
Technologies
Python, TensorFlow, PyTorch, molecular docking software, high-throughput screening platforms
Responsibilities
Secure extramural funding, develop novel AI methodologies for drug discovery, teach medicinal chemistry and computational drug discovery, mentor graduate students
Seniority
Assistant Professor (tenure-track, independent research)
