Post-Doc Research Associate

UNC-Chapel Hill • Chapel Hill, NC

2d

About The Position

The Miao Lab in the Department of Pharmacology and Computational Medicine Program at the University of North Carolina – Chapel Hill ( http://miaolab.org ) invites applications for a Postdoctoral position in AI driven drug discovery and accelerated molecular simulations. This role will support innovative research at the intersection of Artificial Intelligence, Computational Biophysics and Chemistry, and Drug Discovery. The successful candidate will contribute to the development of novel theoretical and computational methods as well as advanced AI techniques to accelerate simulations of biomolecular recognition and cellular signaling. The position also offers opportunities to collaborate with world-leading experimental researchers and participate in high impact drug discovery efforts targeting therapeutically important biomolecules including G-protein-coupled receptors (GPCRs), membrane embedded proteases and RNA . Research projects in the Miao Lab include development of novel theoretical and computational methods and AI techniques for accelerated simulations of biomolecular recognition (such as drug binding and protein-protein interactions) and cellular signaling, and cutting-edge applications in drug discovery of critical targets including G-protein-coupled receptors (GPCRs), membrane-embedded proteases, RNA -binding proteins and RNA . In collaboration with world-leading experimentalists in pharmacology, structural biology, biochemistry and medicinal chemistry, the new postdoc will have the opportunity to work on unprecedented simulations and AI-driven drug discovery of functionally important biomolecules for treatments of neurological disorders, heart failure and cancers.

Requirements

• The position requires knowledge and training in computational biophysics/chemistry and drug design.

Nice To Haves

• Candidates are expected to have strong publication record in biomolecular modeling and computational biophysics/chemistry.
• Programming skills (e.g., bash scripting, python, Fortran, C++ and CUDA )
• Expertise in computational modeling (such as Molecular Dynamics, virtual screening, free energy calculations and Deep Learning)
• Successful experimental collaboration experiences and excellent communication skills are preferred.

Responsibilities

• The researcher will conduct research to forward the developments of biomolecular modeling and computer-aided drug design.
• The researcher will also be engaged in developing proposals for new funding sources, publishing and presenting research topics as applicable.

What This Job Offers

• Education Level: No Education Listed