美国哈佛大学博士后—生物统计学与数据科学

美国哈佛大学博士后—生物统计学与数据科学

哈佛大学（Harvard University），简称“哈佛”，位于美国马萨诸塞州波士顿都市区剑桥市，一所顶尖私立研究型大学，常春藤盟校、全球大学高研院联盟成员。

哈佛大学建立于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）”。1780年，哈佛学院正式改称“哈佛大学”。

哈佛大学由十所学院以及一个高等研究所构成。该校还负责管理运行哈佛-史密松森天体物理中心、麻省总医院、波士顿儿童医院等机构。

2023年U.S. News美国最佳大学排名中，哈佛大学位列第3。 截至2018年，哈佛共有18位菲尔兹奖得主，14位图灵奖得主。

Postdoctoral Research Position in Biostatistics and Data Science

Harvard University

Position

Details

Title Postdoctoral Research Position in Biostatistics and Data Science

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

The Department of Biostatistics at Harvard TH Chan School of Public Health invites applications for a postdoctoral research fellow position focused on developing innovative statistical and machine-learning methods for analyzing and integrating various types of complex biomedical data (e.g., electronic health record data, claims data, biobanks). Areas of particular interest include (but not limited to): (1) genetic risk prediction for underrepresented populations; (2) distributed causal inference in clinical research networks; (3) statistical methods for high-dimensional data. The postdoctoral fellow will be supervised by Dr. RuiDuan at Harvard and will work closely with collaborators across multiple institutions. The appointment will be for a one-year contract with potential for renewal. The fellow will be expected to participate in methodological research leading to publications in top statistical and applied journals.

Basic Qualifications

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

2. Strong theoretical training in statistics or strong programing skills (R, Python, or C++) are desired.

3. Excellent communication skills and good track record of writing scientific papers.

Additional Qualifications Special Instructions

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