About the Role
We are an innovative team dedicated to AI-driven drug discovery, specializing in the computational design and candidate development of macromolecule modalities (macrocyclic peptides, peptides, and proteins). We are seeking a Senior Scientist with overseas experience to lead our computational team in advancing AI generative design to the experimental validation loop.
Key Responsibilities
· Lead AI-assisted design strategies for macromolecules (macrocyclic peptides, peptides, proteins), with full accountability from target analysis through candidate molecule selection and evaluation
· Establish and optimize computational design pipelines covering scaffold generation, sequence optimization, structure prediction, and binding energy assessment
· Collaborate closely with wet lab teams to build a computation-experiment feedback loop and continuously iterate design strategies based on experimental data
· Track frontiers in generative protein design, structure prediction, and related fields; evaluate and implement emerging methodologies
Qualifications
· PhD in Computational Biology, Bioinformatics, Structural Biology, Medicinal Chemistry, or a related field
· Overseas (North America/Europe/Singapore, etc.) academic or industry experience with demonstrated independent research capability
· Proficiency in mainstream protein structure design and prediction tools, with proven end-to-end project delivery experience
· Strong programming skills; ability to independently develop analysis scripts and automation pipelines
· Understanding of PPI, macrocyclic peptide, and protein engineering principles, with relevant design experience
· Team management experience, or willingness to grow from individual contributor to team leader
Preferred Qualifications
· Familiarity with MD simulations or binding free energy calculations
· Experience in macrocyclic peptide, bispecific antibody, ADC, or other macromolecule modality design
· Full-cycle project experience from computational design to experimental validation
· Publications in high-impact AIDD or structural biology journals
职位描述
我们是以AI驱动药物发现为核心的创新团队，专注于大分子模态（大环肽、多肽、蛋白质）的计算设计与候选分子开发。我们正在寻找一位有海外背景的大分子AIDD资深科学家，带领计算团队将AI生成设计推进到实验验证闭环。
核心职责
· 主导大分子（大环肽、多肽、蛋白质）的AI辅助设计策略，从靶点分析到候选分子筛选评估全流程负责
· 建立和优化计算设计管线，覆盖骨架生成、序列优化、结构预测、结合能评估等环节
· 与湿实验团队紧密协作，建立计算-实验闭环，基于实验数据持续迭代设计策略
· 跟踪生成式蛋白质设计、结构预测等领域前沿，评估新方法并推动落地
任职要求
· 博士学位，计算生物学、生物信息学、结构生物学、药物化学或相关方向
· 有海外（北美/欧洲/新加坡等）高校或工业界工作经历，具备独立科研能力
· 熟练掌握主流蛋白质结构设计与预测工具，有完整项目落地经验
· 扎实的编程能力，能独立开发分析脚本和自动化管线
· 理解PPI、大环肽、蛋白质工程的基本原理，有相关设计经验
· 有带团队经验，或有意愿从独立贡献者成长为团队负责人
加分项
· 熟悉MD模拟或结合自由能计算
· 有大环肽、双特异性抗体、ADC等大分子模态的设计经验
· 有从计算设计到实验验证全流程的项目经历
· 发表过高水平AIDD或结构生物学相关论文