Xellar Biosystem和香港城市大学联合招聘博士后(医学信息处理方向)

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A postdoctoral position of clinical informatics is currently open as part of the collaborative efforts between Xellar Biosystems and City University of Hong Kong, with support from the Innovation and Technology Fund of Hong Kong. We are seeking a motivated individual with expertise in natural language processing, clinical information processing, and network analysis to pioneer advanced methods for extracting valuable medical information from literature and using the information to guide disease treatment. This position will be based at City University of Hong Kong, and the option to work remotely from Shenzhen, China, is available.
 
Responsibility
·Develop NLP (natural language processing) tools to extract medical information from publications, regulatory documents, or patient records.
·Collaborate with bioinformatician to integrate the information into biomedical knowledge graph.
·Devise innovative machine learning/AI approaches to predict disease progression and treatment effect based on patient data and knowledge graph.
·Communicate research by publishing scientific papers in peer-reviewed journals and presenting findings at seminars and conferences.
·Contribute to new research proposals.
QUALIFICATIONS WE REQUIRE:
·PhD in computer science, machine learning, artificial intelligence, computational biology, bioinformatics, bioengineering, or related field with an emphasis on developing NLP tools to extract information from literature.
·Expert in natural language processing, familiar with network analysis methods and graph neural network.
·Programming skills of Python and familiar with graph database such as neo4j or others and network analysis.
·Experience in biomedical applications is a big plus.
·Record of technical accomplishments, strong written and verbal communication skills.
Benefits:
·Postdoctoral research fellow receives a monthly stipend of 45,000 HKD, with very favorable tax policies.
·Other benefits, including medical and dental insurance.
Interested individuals could send a cover letter, CV, publications to Dr. Kede Ma (1point3acres.com).
职位介绍
Xellar Biosystem 和香港城市大学联合招聘一名医学信息处理方向的博士后开发新的方法从生物医学文献中提取信息,将获取的信息与生物医学知识图谱进行整合分析,帮助医生选择治疗方案。这个博士后的位置得到香港创新科技基金的支持。主要工作地点设在香港城市大学。也可以根据个人意愿选择在深圳工作。
 
工作职责
·开发自然语言理解工具从医学文献或病人病历中提取疾病,药物以及疗效等相关信息
·与生物信息学家合作将提取的信息与生物医学知识图谱进行集成
·根据知识图谱设计创新的机器学习/人工智能方法来帮助医生选择治疗方案,预测疾病进展和治疗效果
·通过发表科学论文或会议报告等形式交流研究成果
·根据需要提出新的研究方向
招聘条件
·计算机科学、机器学习、人工智能、生物工程,计算生物学、生物信息学、或相关领域的博士学位
·精通自然语言理解的方法和工具,熟悉图分析(网络分析)方法和工具(包括图神经网络)
·熟练的Python编程能力,熟悉neo4j等图数据库和网络分析软件包
·强大的书面和口头沟通能力以及数据整合能力
·可独立开展课题研究并提出新的研究课题
·具有生物医学应用经验者优
岗位待遇
·工资及福利待遇按HK ITC博士后相关规定执行,年薪54万港币
·与Xellar Biosystem位于美国波士顿的团队密切合作。提供交流访问机会
·鼓励和支持参加高水平国际学术会议
·医疗与牙医保险
·带薪年假
申请程序
申请人员请先通过电子邮件[email protected]递交申请材料 (包括详细简历,学位论文题目和摘要、已发表文章等)。达成意向后进行面试。

补充内容 (2024-02-26 14:25 +08:00):

Organizations:
Multimedia Analytics (MA) Laboratory in City University of Hong Kong (CityU) is is an interdisciplinary research group led by Dr. Kede Ma. The research areas of this group focus on Computational Vision, Computational Photography, Multimedia Forensics and Security, and Bioimage analysis.
Xellar Biosystems (Xellar Inc.) is a Boston-headquartered biotechnology company with sites in the Asian Pacific regions. Xellar pioneers AI-driven biotechnology, leveraging the power of machine-learning and human-centric data to streamline the traditionally tedious process of drug discovery. Our microfluidic 3D cell culture devices, which mimic various organs and diseases, are designed with efficiency in mind—integrating automation, scalability, and cost-effectiveness. This technology enables high-content, high-resolution images to be fed into our computational and AI pipeline, fueling a powerful and highly predictive platform. Committed to redefining biotechnology, Xellar Biosystems accelerates the journey of drug discovery, safety evaluation and personalized medicine.
 
Advisors:
Dr. Zhiyong Xie is the vice president of Xellar Biosystem where he is leading the effort of building the AI & data science platform to improve the understanding of disease and treatment based on Xellar's organ-on-chips technology. Prior to joining Xellar, Dr. Xie had worked for Pfizer Inc for 19 years. His responsibilities included the study design, data analysis, and AI applications in preclinical studies, clinical trials, and drug safety research & development. Dr. Xie received Ph.D. and master’s degrees from Arizona State University and Peking University respectively. He completed post-doc training in medical school at the University of Pennsylvania.
Dr. Haiqing Bai is the Director of Preclinical Development at Xellar. He has deep experience in developing human organ chip-based models for disease modeling and drug testing. His work in these domains have been published in many top journals. His work of using human organ chips for drug repurposing has resulted in many patents filling. Notably, he led one of the first cases of using preclinical data from human organ chips for IND submission. Dr. Bai received his B.S. from the University of Science and Technology of China, his Ph.D. in Pathology from the University of Rochester, and his postdoctoral training from Harvard University.
Kede Ma is an Assistant Professor with the Department of Computer Science at City University of Hong Kong (CityU). He received the B.E. degree from the University of Science and Technology of China (USTC) in 2012, the MASc. and Ph.D. degrees from the University of Waterloo, in 2014 and 2017, respectively. Prior to joining CityU, he was a Research Associate with Howard Hughes Medical Institute and New York University, from 2018 to 2019.

单位介绍
·香港城市大学(城大)多媒体分析(MA)实验室是一个由馬柯德博士领导的跨学科研究小组。该小组的研究领域集中在计算视觉、计算摄影、多媒体取证和安全以及生物影像分析。
·耀速科技2021年底创立于美国波士顿,是全球首家利用器官芯片结合高内涵三维(3D)细胞成像,计算机视觉(CV)和人工智能(AI)进行药物发现和精准医学研究的“3D-Wet-AI”生物科技初创公司,并在亚太地区设有分支机构。耀速科技是人工智能驱动的生物技术的先驱,利用机器学习和以人为中心的数据的力量,简化了传统乏味的药物发现过程。我们的微流体3D细胞培养设备模拟各种器官和疾病,设计时考虑到了效率——集成了自动化、可扩展性和成本效益。这项技术使高内容、高分辨率的图像能够输入我们的计算和人工智能管道,为一个强大且具有高度预测性的平台提供动力。耀速科技致力于重新定义生物技术,加速药物发现、安全性评估和个性化医疗的旅程。
 
指导老师
·谢志勇博士现任耀速科技副总裁。主要负责搭建人工智能与数据科学平台,利用耀速科技的器官芯片数据来提高对疾病的理解和对药效的评估。加入耀速科技之前,谢志勇博士在美国辉瑞制药公司任职十九年,从事临床前药效评估,临床试验,药物安全等方面的实验设计与管理,数据分析,和AI应用等工作。谢志勇博士分别在亚利桑那州立大学和北京大学取得计算机博士和硕士学位。并在宾夕法尼亚大学医学院完成博士后研究。
·白海清博士是耀速科技的临床前开发总监。他在开发用于疾病建模和药物测试的基于人体器官芯片的模型方面有着丰富的经验。他在这些领域的工作已发表在许多顶级期刊上。他使用人体器官芯片进行药物再利用的工作已获得多项专利授权。白博士领导了首批使用人体器官芯片临床前数据提交IND的案例之一。白博士拥有中国科学技术大学的理学学士学位,罗切斯特大学的病理学博士学位,以及哈佛大学的博士后培训。
·馬柯德博士是香港城市大学(城大)计算机科学系助理教授。他2012年毕业于中国科学技术大学(USTC)。分别于2014年和2017年分别获得滑铁卢大学硕士和博士学位。在加入城大之前,他于 2018 年至 2019 年担任霍华德休斯医学院和纽约大学的研究员
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