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访学招聘|美国哈佛大学生物统计学、生物信息学等

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

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Description

The Harvard T.H. Chan School of Public Health Microbiome Analysis Core is seeking a postdoctoral or visiting scholar fellow for microbiome epidemiology and bioinformatics. 

The Microbiome Analysis Core, located in the Department of Biostatistics, supports a comprehensive computational and statistical platform for population studies of the human microbiome, its interaction with health and disease, and methods for data mining and machine learning in multi-omic data. 

This job will entail work with the Microbiome Analysis Core personnel applying and extending microbiome informatics and statistical methods, developed in the Huttenhower lab (e.g. MetaPhlAn, HUMAnN) as well as standards in the field (DADA2, MEGAHIT), to new human microbiome profiles, including microbial communities assayed in disease, animal models, cross-sectional and prospective human cohorts, and associated clinical phenotypes and/or environmental/lifestyle exposure metadata. 

These studies generally have the goal of identifying features of the microbiome (16S amplicon, shotgun metagenomic, and shotgun metatranscriptomic sequencing, yielding taxa, gene families, enzymes, and/or pathways) associated with various phenotypes, exposures, and/or outcomes. 

There will be regular interactions with internal and external contacts, including scientists, collaborators, postdocs, students, and clinicians and industry leaders. 

Optional mentoring and/or teaching opportunities include lab PhD or Masters students, junior researchers, public guest lectures, and short course workshops.

Basic Qualifications:

  • Doctoral degree in Biostatistics, Bioinformatics, Computer Science, Computational Biology, Molecular Biology, Biology/Life Sciences, or related fields. 
  • Proficiency in R programming and Linux/Unix command line required. 
  • Preference given to candidates with experience in microbiome analysis, ordination and cluster analysis, sequence analysis, intermediate R programming, Python programming, a background in biostatistics, and computing clusters (e.g. Slurm). 
  • Excellence in research, communication, and collaboration skills, as evidenced by publication record. 
  • Ability to handle a variety of tasks, effectively solve problems with numerous and complex variables, and rapidly shift priorities.
  •  Excellent attention to detail is required.

Additional Qualifications Special Instructions Contact Information

Jeremy Wilkinson

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

Minimum Number of References Required 2 Maximum Number of References Allowed 4

Supplemental Questions

Required fields are indicated with an asterisk ().

Applicant Documents

Required Documents

  Curriculum Vitae

  Cover Letter