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Computer-Aided Drug Design
医疗健康·医疗科技
Accelerate drug discovery using computational simulation techniques, predict drug activity and toxicity via molecular docking and virtual screening to reduce experimental costs
Daily work
- 01Use molecular docking software to analyze binding modes between candidate compounds and target proteins
- 02Run virtual screening pipelines to select potential active molecules from large compound libraries
- 03Build and optimize pharmacophore models to guide subsequent compound synthesis
- 04Analyze molecular dynamics simulation trajectories to evaluate drug-target complex stability
Ability requirements
Hard skills
- Molecular docking and virtual screening tools (e.g., AutoDock, Schrödinger)
- Molecular dynamics simulation software (e.g., GROMACS, AMBER)
- Programming and scripting languages (Python, R, Shell)
- Fundamentals of medicinal chemistry and biochemistry
- Application of data analysis and machine learning in drug design
Soft skills
- Systematic thinking and logical reasoning
- Cross-disciplinary team collaboration
- Patience and resilience (dealing with many negative results)
- Continuous learning of cutting-edge technologies
- Clear scientific communication and report writing
Best suited for
Suitable for those passionate about drug discovery, enjoy solving chemical puzzles with computation, and can tolerate long experimental validation cycles
Less suited for
Not suitable for those who crave immediate results, dislike repetitive tasks, or lack interest in biological/chemical principles
Salary (monthly)
Pre-tax estimate, tier-1 cities with social insurance · reference only
Profile
MBTI Fit
Resume examples for this role
Disclaimer: Salary figures on this page are estimated pre-tax monthly pay for positions with social-insurance contributions in China's tier-1 cities; other cities are converted using regional coefficients. Dimension scores and MBTI fit are editorial estimates, provided for reference only, and do not constitute any promise or advice.