Internships in Computational Biophysics and Drug Design

Position Information

We are looking for creative individuals to contribute to the development and application of novel techniques in computational biophysics and drug design. The major focus will be on artificial intelligence, structure-based design and multi-scale molecular simulations. You will provide a major contribution to multidisciplinary projects in collaboration with experimental groups at the University of Missouri – Columbia, University of Utah and the University of North Carolina at Chapel Hill. Therapeutic areas include cancer, aging and neurologic disorders and involve innovative biomolecular targets.

You are expected to have a broad interest in computer applications to biomedical sciences and chemistry

You are encouraged to apply if you have basic knowledge/skills in any of the following: machine learning (especially PyTorch or TensorFlow), programming (especially Python), molecular modeling, statistical physics, thermodynamics, molecular dynamics, chemoinformatics.

We encourage students to include a resume or transcript when e-mailing a faculty mentor to apply for a posted position.