美国哈佛大学招聘博士后职位

  Postdoctoral Research Position In Biostatistics

  Radcliffe College

  Description

  PositionTitle Postdoctoral Research Position in Biostatistics

  School Harvard T.H. Chan School of Public Health Department/Area Biostatistics Position Description

  The Department of Biostatistics at the Harvard T.H. Chan School of Public Health invites applications for a Postdoctoral Fellow position for statistical methods development to address questions of climate change and air pollution regulatory policy. Expertise in causal inference and machine learning is desirable but not necessary. The Postdoctoral Fellow will work with a multi- disciplinary team with expertise in statistical methods, epidemiology, climate science, and biomedical science. The position will be under the joint supervision of Dr. Francesca Dominici in the Department of Biostatistics and Dr. Rachel Nethery, and in collaboration with Dr. Danielle Braun. Applicants should have an interest in developing and applying novel and state-of-the-art statistical and data science methods in environmental health.

  Qualifications:

  Doctoral degree in Computer Science, Statistics, Biostatistics, or related field.

  Experience in analyzing real data, strong programming skills, and familiarity with statistical methods is preferred.

  Excellent communication and writing skills desired.

  The ideal candidate is an independent, solution-oriented thinker with a strong background processing very large data sets, applying analytical rigor and statistical methods, and driving toward actionable insights and novel solutions.

  Duties and Responsibilities The Post-doctoral Fellow will contribute to the effort of:

  · Analyzing environmental health effects in big data

  · Collaborate with our biostatistics and data science group

  · Writing scientific articles and research proposals

  Basic Qualifications

  Basic Qualifications

  · PhD in Biostatistics, Statistics or Computer Science.

  · Experience in air pollution health studies (desired).

  · Experience in handling very large spatial datasets.

  · Experience in applied statistics and computational methods.

  · Knowledge of R, SAS, and Python.

  · Interest in open-source software, reproducibility and data management.

  Additional Qualifications

  Additional Qualifications

  · Familiarity with multiple data science tools and ability to learn new tools as required.

  · Experience with version control systems, in particular Git and GitHub.

  哈佛大学(Harvard University),简称“哈佛”,坐落于美国马萨诸塞州波士顿都市区剑桥市,是一所享誉世界的私立研究型大学,是著名的常春藤盟校成员。

  哈佛大学是美国本土历史最悠久的高等学府,建立于1636年,最早由马萨诸塞州殖民地立法机关创建,初名“新市民学院”。 为了纪念在成立初期给予学院慷慨支持的约翰·哈佛牧师,学校于1639年3月更名为“哈佛学院(Harvard College)”,而1780年哈佛学院正式改称“哈佛大学(Harvard University)”。 哈佛大学由十所学院以及一个高等研究所构成,坐拥世界上规模最大的大学图书馆系统,2018学年注册本科生6699余人、硕士及博士研究生13120余人。 哈佛大学在文学、医学、法学、商学等多个领域拥有崇高的学术地位及广泛的影响力,被公认为是当今世界最顶尖的高等教育及研究机构之一。 截止至2018年10月,哈佛大学共培养了包括富兰克林·罗斯福、贝拉克·奥巴马在内的8位美利坚合众国总统,而哈佛的校友、教授及研究人员中共产生了158位诺贝尔奖得主(世界第一)、18位菲尔兹奖得主(世界第一)、14位图灵奖得主(世界第四)。

  2019-20年,哈佛大学位列世界大学学术排名世界第一、USNews世界大学排名世界第一、QS世界大学排名世界第三、泰晤士高等教育世界大学排名世界第七。 2019-20年,在《泰晤士高等教育》世界大学声誉排名中,哈佛大学位列世界第一。