Building knowledge graphs to predict chemical induced toxicity

US Environmental Protection Agency
Center for Computational Toxicology & Exposure
United States North Carolina Research Triangle Park


The candidate will explore innovative approaches to organize disparate information on chemical structure and bioactivity as knowledge graphs (KG) using open-source tools. One of our goals is to evaluate the utility of KGs for explaining and predicting the adverse effects of chemicals. This is a great training opportunity in a cross-disciplinary research team
developing new approaches to predict chemical-induced toxicity.

Further information about the Center for Computational Toxicology and Exposure:-


The suitable candidate will have an undergraduate degree (by June 30, 2023) in bioinformatics, computational biology, computer science, or related discipline, and experience in Python programming.

Start date

February 01, 2023

How to Apply

Follow instructions for applying online at


Imran Shah