Postdoctoral Fellow in Bioinformatics
Shanghai Jiao Tong University, Bio-X Institutes

Bioinformatics Postdoctoral Fellow at Shanghai Jiao Tong University

2013-11-06 13:54

The Bio-X Institutes of Shanghai Jiao Tong University is looking for three well-trained, talented and creative computational biologists to lead the analysis of multidimensional next-generation sequencing data and microarray data(genomics, transcriptomics, and epigenomics). This is a large, well-funded integrative omics project that has just gotten started. The project will involve integrative bioinformatic analysis and development of new statistical and algorithmic approaches.


Candidates should have a PhD in a quantitative discipline, programming experience, a strong publication record and experience in one or more of the following areas: human genomics, genome-scale analysis, transcriptomics, next-generation sequence analysis and regulatory genomics. Experience in interdisciplinary collaborations is a plus.


Shanghai Jiao Tong University, one of the top-ranked academic institutions in China, was established in 1896, and has been leading the scientific research in China. Bio-X Institutes ( is a well-established interdisciplinary centre at the Shanghai Jiao Tong University. The current director of the Institutes is Prof. Lin He, a senior fellow of the Chinese Academy of Sciences, and the honorary director is Prof. Steve Zhu, Nobel Laureate in Physics. Several in-house facilities are active, including the next generation sequencing facility with Illumina HiSeq 2000 and high-performance computers.


We provide competitive salary and housing benefits. The period of employment is for 2 years with possibility of academic promoting. The start date of employment is flexible.


To Apply: Please submit a cover letter summarizing your research experience, scientific interests, career goals and CV including the names and contact information of at least 2 references via email, to:, and/or The email subject should be entitled 'Application for Post-doctoral in Computational Systems Biology and Genomics.


All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.


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