Postdoc: AI & Physics-Based Drug Discovery

Wistar Institute; Philadelphia (Philadelphia County); On-site; USD 55,000 - 75,000; Full time

Benefits offered by this job

Competitive salary

Excellent benefits

Job summary

The Wistar Institute in Philadelphia invites applications for a Post-Doctoral Fellow in the Center for Advanced Therapeutics (CAT) to develop AI-based and physics-based computational methods for drug discovery. The successful candidate will work with Dr.

Guangfeng Zhou on projects spanning AI model development, protein-ligand modeling, docking and binding-affinity prediction, and large-scale virtual screening, with opportunities to collaborate with experimental teams.

Qualifications

• Strong computational background with at least one first-author peer-reviewed publication.
• Experience in machine learning/deep learning, molecular modeling, or related areas is desirable.
• Willingness to collaborate across computational and experimental teams.

Responsibilities

• Develop and apply AI and physics-based computational methods for drug discovery.
• Work on protein-ligand modeling, docking, and binding-affinity prediction.
• Conduct large-scale virtual screening and collaborate with experimental researchers.

Skills

ML/DL

Molecular modeling

Molecular dynamics

Protein structure modeling

Cheminformatics

Computational drug discovery

Education

PhD in computational chemistry/biophysics/computer science

Job description

The Wistar Institute in Philadelphia invites applications for a Post-Doctoral Fellow in the Center for Advanced Therapeutics (CAT) to develop AI-based and physics-based computational methods for drug discovery. The successful candidate will work with Dr.

Guangfeng Zhou on projects spanning AI model development, protein-ligand modeling, docking and binding-affinity prediction, and large-scale virtual screening, with opportunities to collaborate with experimental teams.