Senior/Principal Investigator, Computational Drug Discovery & Applications
上海社招 · 全职研发
职位描述
Apply computational chemistry and AI/ML methods (e.g., generative AI, virtual screening, molecular docking, MD simulations, FEP) to advance both internal and external drug discovery projects.
Drive the design and implementation of robust scientific workflows and best practices, leading to publishable case studies.
Collaborate proactively with experimental teams (medicinal chemistry, structural biology, biochemistry, biophysics, pharmacology) to design experiments and interpret data, accelerating Design-Make-Test-Analyze (DMTA) cycles.
Track emerging scientific trends and contribute ideas for platform evolution.
Prepare clear, concise documentation of analyses and effectively communicate findings to diverse audiences in project meetings and external settings.
任职要求
Education: Ph.D. or Master's in Computational Chemistry, Biophysics, Bioinformatics, Structural Biology, Medicinal Chemistry, or related field (Ph.D. preferred).
Experience: Ph.D. with 2–6 years (including postdoctoral work) or Master’s with 4–8 years in drug discovery or related fields, commensurate with level.
Technical Skills:
Familiarity with small-molecule drug discovery workflows and lead optimization challenges.
Hands-on experience in one or more of the following areas: MD simulations, FEP, docking, virtual screening, pharmacophore modeling, QSAR, cheminformatics, SBDD, LBDD, structural modeling, quantum mechanics.
Experience with peptides and other therapeutic modalities is a plus.
Core Competencies:
Strong scientific communication and presentation skills;
Team-oriented mindset with ability to work in multidisciplinary environments;
Strong problem-solving skills with keen attention to detail;
Chinese and English proficiency.
Preferred Qualifications:
Experience with AI/ML in drug discovery;
Python programming;
Extensive medicinal chemistry background.
