【计算机辅助药物设计科学家招聘】

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HR · 四川俊利企业管理有限责任公司

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职位介绍: Responsibilities: As an outstanding computational biologist, this scientist will make an impact on our R&D portfolio, with the unique opportunity to help drive discovery projects from inception to early development. Specifically, you will • Develop and establish structure-based computational methods and technical framework to advance discovery and development of wide array of therapeutic modalities including antibody, conjugates, fusion proteins and beyond • Identify and execute independent structural and computational strategies to accelerate project delivery, as well as to facilitate core platforms • Provide structural biology insights to drive protein design for drug-like properties, immunogen or for preferred functionalities • Effectively collaborate with cross-functional project teams; identify key needs and apply computational approaches accordingly • Maintain strong engagement with external professionals and outside vendors • Mentor and develop junior scientists Basic Requirements: • Ph.D. in computational & structural biology, structural bioinformatics, or related field; postdoc and/or industry experience preferred • Computer programming skills in R or Python in Unix or Linux Preferences: • 3 or more years of relevant experience beyond education/postdoctoral training in a pharmaceutical, biotech, or research organization • Deep domain expertise on protein structure prediction, computational analysis on protein properties, protein-protein interaction, and/or protein-ligand docking and screening • Familiar with Alphafold software, database and API • Proficient with powerful computational tools, such as Discovery Studio/Biovia, MOE or Rosetta • Experience with molecular dynamics simulation, coarse-grained simulation • Protein chemistry or protein engineering experience is a plus • Creative problem solver and be able to influence team in positive direction • Strong teammate and willingness to work effectively in a collaborative, fast-paced, multi-tasking environment Additional Preferences: Experience of or interested in learning • Antibody sequence analysis and/or Ig-Seq data analysis • Machine learning, deep learning or AI related algorithms

其他信息: 语言要求：不限; 行业要求：制药

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