现代风格 时尚潮流
现代风格是比较流行的一种风格,追求时尚与潮流,非常注重居室空间的布局
文雯
创始人/首席执行官
- 十余年投资及跨学科创新及管理经验
- 曾任互联网独角兽产品总监,将前沿科技如人工智能、大数据、区块链等技术赋能传统行业
- 中信资本(香港)投资经理,专注医疗、TMT、消费等领域投资
- 伦敦政经学院会计与金融硕士
Douglas McCloskey, Ph.D.
联合创始人/首席科学家
- 西贝尔学者(Siebel Scholar),该奖项专门用于表彰在计算机科学、商业和生物工程等领域内世界顶尖研究院所中最突出的研究者
- 系统生物学领域顶尖学者,丹麦科技大学诺和诺德研究院高级研究员与课题组长
- UCSD 系统生物学博士,师承系统生物学鼻祖美国工程院院士B. Palsson教授
- 发表SCI期刊数十篇,包括数篇CNS及子刊顶级成果,H指数达21,引用超过1700次,累计影响因子(IF)超过240分
Dimitris Christodoulou, Ph.D.
联合创始人/首席战略官
- 德勤咨询(瑞士)主导罗氏、诺华等跨国药企的商务战略与数据解决方案的设计与执行
- 跨国药企的战略视角,在数据驱动的多组学整合与模拟算法有深厚的产业经验
- 哈佛医学院系统生物学访问学者
- 苏黎世联邦理工学院计算生物博士及博后
- 发表SCI论文十余篇,包括Nature、Cell Systems等
侯小强 博士
联合创始人/首席战略官
- 中国研究型医院学会互联网医院分会副秘书长
- 原陆军总医院综合计划、科研教学负责人
- 长期从事病原微生物诊断、致病机制和疫苗研发,肿瘤及罕见病等重大疾病的精准检测、免疫治疗相关技术研究
- 主持多项国家重点研发及军队科研课题
- 申报国家发明专利8项、吉林大学病毒学博士、军事医学科学院生物学博士后
Haihong Liu, M.D.
Technical Director of Clinical Laboratory
● Ex-Medical Laboratory Specialist of General Hospital of Beijing Military Region
● Genetic Metabolic Disease Laboratory Director of Bayi Children's Hospital
● Specialized in molecular biology and immunology diagnosis
● Evaluation expert of Beijing natural science foundation
● M.D. in preventive medicine, Academy of Military Medical Sciences
Wei Ye, Ph.D.
VP Scientific Affairs
● Head of Bioinformatics Platform, Bio-Med Big Data Center, Shanghai Institute of Biological Sciences, CAS, lead efforts of building NODE (National Omics Data Encylopedia)
● 10 years experience in multi-omics bioinformatics analysis
● Director of Bioinformatics, Shanghai Tissue Bank Co. Ltd.
● Project Assistant at Roche pRED China
● Ph.D. in Biology, Shanghai Jiaotong University
孙芮敏, Ph D
高级生物信息学家
- AI算法、知识图谱、生物信息
- 在生物技术行业AI算法、知识图谱构建和关联推荐的开发有十余年经验
- 南洋理工大学应用数学博士
- 宾夕法尼亚大学生物信息博士后
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陈乐敏博士
首席科学家(多组学方向)
- 深耕生命科学产业15余年,资深科研和商务拓展经验
- 哥伦比亚大学医学中心病理学和细胞生物学系助理教授,专注于脂质代谢和神经退行性疾病领域,多次获得美国国立卫生研究院(NIH)和其他非营利研究基金会科研资助
- 哥伦比亚大学医学中心脂质组学核心实验室创始主任,领导了众多合作项目,包括神经退行性疾病、传染病和生物标志物发现等多个领域
- 丰富商务拓展和战略合作经历,涉及癌症诊断、细胞治疗和系统生物学分析服务相关产品
- 新加坡国立大学生物化学博士,师承Markus R. Wenk教授,哥伦比亚大学MBA
- 发表40多篇论文,含国际顶尖期刊(Nature、Nat Commun.、Nat Neurosci.、Cell Host Microbe)
黄春健 博士
免疫学副总裁
Simon Junankar, PhD
Scientific Affairs Director
- 前任Garvan Institute of Medical Research研究组长
- 新南威尔士大学肿瘤生物学博士
- 20多年的肿瘤免疫学研究,在顶级期刊Science、Cancer Cell、Nat Medicine、Nat Genetics和Nat Comm上发表数十篇论文
叶纬博士
联合创始人兼技术运营高级副总裁
- 十余年生物信息数据分析研发与平台管理经历,专注于二代测序数据分析、多组学整合分析、计算机辅助药物设计等领域
- 曾任中科院上海生科院大数据中心担任生物信息平台负责人,主导平台各组学数据分析,并参与建设多个国家级组学数据库项目
- 曾于罗氏上海创新中心任职,参与数个新药开发项目
- 上海交通大学生物学(生物信息)博士学位
- 发表SCI论文20多篇(其中一作8篇),引用超500次
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我们正在快速发展,随时欢迎优秀、有好奇心,有热情的人才加入我们。
就算在招岗位中没有符合您的职位,也欢迎对人工智能和免疫有热情的你随时联系我们,请把您的简历发送至:hr@alivexbiotech.com
图计算算法工程师
工作职责:
岗位要求:
图计算算法工程师
岗位要求:
工作职责:
自然语言处理算法工程师
工作职责:
岗位要求:
自然语言处理算法工程师
工作职责:
岗位要求:
Data engineer with experience and competence using Big Data infrastrustructure and tools
Requirements:
Data engineer with experience and competence using Big Data infrastrustructure and tools
Requirements:
Architect the infrastructure for biomedical knowledge
Your mission is to design and architect the data infrastructure that will house our biomedical KG.You will help design the semantic logic that will allow for reasoning over the KG. You will help design the validation constraints that will allow for ensuring the quality of our KG. You will help decide on the key metrics to monitor the provenance, accuracy, quality, and completeness of our KG over time. You will help design the schema and ontologies for recording experimental metadata derived from next generation sequencing (NGS), third generation sequence (TGS), analytical chemistry, and immunology technologies. You will be involved in deciding on the graph database and analytics technologies to build, reason, and validate the KG at Big Data scale. You will:
Architect the infrastructure for biomedical knowledge
Your mission is to design and architect the data infrastructure that will house our biomedical KG.You will help design the semantic logic that will allow for reasoning over the KG. You will help design the validation constraints that will allow for ensuring the quality of our KG. You will help decide on the key metrics to monitor the provenance, accuracy, quality, and completeness of our KG over time. You will help design the schema and ontologies for recording experimental metadata derived from next generation sequencing (NGS), third generation sequence (TGS), analytical chemistry, and immunology technologies. You will be involved in deciding on the graph database and analytics technologies to build, reason, and validate the KG at Big Data scale. You will:
Data engineer fluent in the application of semantic web technologies towards biomedicine
We are looking for motivated and hard-working individuals with strong values and expert knowledge at the intersection of data engineering, bioinformatics, and semantic technologies.We expect that you are knowledgeable of how to apply the semantic web stack towards the development of biomedical linked data and KGs.Since the adoption of semantic technologies to enable Big Data analyses in the life sciences is rapidly progressing, we also expect that you are intellectually curious and self-motivated to stay up to date with the latest in KG data engineering, bioinformatics, and semantic web technologies developed by the scientific community and industry.Added to this, your resume comprises:
Data engineer fluent in the application of semantic web technologies towards biomedicine
We are looking for motivated and hard-working individuals with strong values and expert knowledge at the intersection of data engineering, bioinformatics, and semantic technologies.We expect that you are knowledgeable of how to apply the semantic web stack towards the development of biomedical linked data and KGs.Since the adoption of semantic technologies to enable Big Data analyses in the life sciences is rapidly progressing, we also expect that you are intellectually curious and self-motivated to stay up to date with the latest in KG data engineering, bioinformatics, and semantic web technologies developed by the scientific community and industry.Added to this, your resume comprises:
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