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美国哈佛大学统计遗传学和基因组学博士后职位
文章来源:知识人网整理       更新时间:2022年01月27日

美国哈佛大学统计遗传学和基因组学博士后职位

Postdoctoral Research Position In Statistical Genetics And Genomics

Description

Position Title Postdoctoral Research Position in Statistical Genetics and Genomics

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

Postdoctoral Research Fellow position in statistical genetics and genomics is available at Harvard T. H. Chan School of Public Health. This position involves developing and applying statistical and machine learning methods for analysis of high-throughput genetic and genomic data, including large scale Whole Genome Sequencing association studies, integrative analysis of genetic and genomic data, high-dimensional phenotype analysis, causal mediation analysis and Mendelian Randomization, Polygenic risk scores, and analysis of biobanks. We seek an individual with strong statistical, computing, and genetic backgrounds and who has expertise in statistical and computational methods for big data, statistical genetics and genomics. The work will involve both methodological research with department faculty and collaboration with subject matter researchers and investigators in large consortia.

Basic Qualifications

Ph.D. in a quantitative field, e.g., statistics or biostatistics, computer sciences, strong quantitative research background, statistical and programming proficiency, strong genetic knowledge, as well as good written and oral communication skills.

Additional Qualifications Special Instructions

Administrative questions regarding this position can be sent to Susan Luvisi at biostatpostdoc@hsph.harvard.edu.

Scientific questions regarding this position can be sent to Xihong Lin at xlin@hsph.harvard.edu.

Contact Information

Susan Luvisi

Contact Email biostatpostdoc@hsph.harvard.edu Equal Opportunity Employer

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.

Minimum Number of References Required 3 Maximum Number of References Allowed 5 Keywords

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