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一、aidd/cadd scientist→leader-上海 responsibilities: 1. support/drive early discovery projects from target identification/evaluation to hit identification, to lead optimization, and all the way to pcc and ind-enabling studies 2. contribute to the hit/lead optimization campaigns through mitigating any detected liabilities in terms of potency, selectivity, and adme/pk profiles 3. contribute to the global ai platform in optimizing current tools or establishing novel ai/machine learning models in cheminformatics and/or molecular modeling areas, which are applicable to discovery projects 4. proactively integrate experimental data and apply computational approaches to generate knowledge and insights requirements: 1. phd in computational chemistry/ biology, cadd, or any relevant areas that also bring the following set of skills and expertise 2. proficient in structure-/ligand-based drug design, including molecular docking, virtual screening, qsar, homology modeling, molecular dynamics, and quantum mechanics, etc., and master the relevant tools, including schrodinger, moe, discovery studio, etc. 3. proficient command of at least one programming language (python, c, c++, perl, shell, …) 4. highly motivated, possess excellent communication skills, enjoy working in multidisciplinary teams and are fluent in english 5. experience in ai/machine learning, data mining, and automate workflows is a plus 6. experience in the pharmaceutical industry or postdoctoral research in the drug discovery context would be a plus 7. good understanding of drug discovery principles including the fundamentals of medicinal chemistry, adme/pk and disease biology is a big plus 8. a track record of scientific contributions illustrated by publications and/or patents. extra points 1.expertise in machine learning (ml) and deep learning (dl), with experience in developingor applying ml/dl methods in at least one of the following fields: molecular propertyprediction, molecular generation, retrosynthesis prediction, protein design, biomedical textmining, or bioinformatics analysis, etc 2.experience in antibody and peptide generation or small molecule drug design for ppi would be a big plus. 二、抗体设计-北京 主要工作职责： 1.基于蛋白质结构分析和预测，抗原抗体对接等手段，设计点突变或者文库，从多个维度优化抗体药物的特性，筛选有治疗潜力的分子； 2.抗体人源化，亲和力成熟，稳定性优化，双特异抗体的设计等； 3.完成分子克隆的构建，和团队一起验证蛋白质优化的设计； 4.及时分析汇报数据，帮助项目组做决定； 主要交付结果 1.作为治疗性抗体发现团队的一员，完成抗体药物的优化设计并最终交付pcc分子； 2.独立完成蛋白药物的设计和相应的克隆表达工作； 3.按时交付结果； 任职资格 教育和工作背景: 1.蛋白设计，结构生物学相关领域博士以上学历， 2年以上工作经验； 2.深入了解蛋白结构和功能，精通一个或多个常用的蛋白质工程分子建模软件包 （schrodinger, rosetta, moe, discovery studio）； 3.有蛋白质工程化改造的研究经验，如提高稳定性，抗体人源化，亲和力成熟，双特异抗体设计等； 4.熟练掌握分子生物学技术，蛋白表达纯化技术。 5.有双抗/多抗设计经验者优先考虑 投递请标注：XX岗位+姓名+毕业院校+最高学位 KSX0928 charich.yp@x-giants.com [ 来自版块群 上海 ] |
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