Principal Scientist driving cutting-edge GPCR structure-based drug discovery for chronic diseases in Shanghai. Collaborating within interdisciplinary teams using advanced computational methods.
Responsibilities
Drive the design, development, and deployment of next-generation GPCR structure-based drug design (SBDD)
Create a unified, end-to-end computational workflow integrating co-folding, molecular dynamics (MD), and free-energy perturbation (FEP)
Develop, optimise, and apply advanced MD methodologies to analyse dynamic cryo-EM datasets
Build and maintain high-performance GPCR co-folding and FEP pipelines
Deploy the integrated Co-Folding–FEP platform across active drug discovery programs
Requirements
PhD degree (or equivalent) in a scientific or life sciences discipline
Strong understanding of chemical structures and biological/drug discovery concepts
Demonstrated expertise in protein–ligand structure modeling, including co-folding methods
Strong practical experience in MD simulations (setup, parameterization, production, analysis)
Hands-on experience with Free Energy Perturbation/related free-energy simulation techniques in biotech/pharma
Hands-on experience with RDKit or equivalent cheminformatics libraries
Proficiency with modern CADD software platforms (e.g., Schrödinger, FEP+, or equivalents)
Strong analytical and problem-solving abilities
Excellent teamwork, communication, and collaboration skills
Benefits
Annual performance incentive bonus
New hire equity
Ongoing performance-based equity
Job title
Principal Scientist – Associate Director, CADD/Cheminformatics
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