Chenlab:Recruiting: Difference between revisions
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Multiple bioinformatics postdoc positions are available immediately in | Multiple bioinformatics postdoc positions are available immediately in Chen Lab affiliated with the Houston Methodist Hospital and the Weill Cornell Medical College, Cornell University. | ||
Please send (1) your CV, (2) a cover letter or half-page research statement, and (3) information for two or more references to [[Image: methodistckf.png|200px]] | Please send (1) your CV, (2) a cover letter or half-page research statement, and (3) information for two or more references to [[Image: methodistckf.png|200px]] | ||
Revision as of 22:16, 19 April 2017
Chen Laboratory
Multiple bioinformatics postdoc positions are available immediately in Chen Lab affiliated with the Houston Methodist Hospital and the Weill Cornell Medical College, Cornell University.
Please send (1) your CV, (2) a cover letter or half-page research statement, and (3) information for two or more references to 
Salary and benefits can be highly competitive and commensurate with experience. The Methodist Hospital is frequently ranked by the FORTUNE Magazine to be one of the best companies to work for. It is also the top 19th best hospital in U.S. and the top 1st best hospital in Texas as was ranked by the U.S. News. We are located in Houston at the center of the Texas Medical Center, the largest medical center in the word. Texas is ranked the #1 state to make a living by Forbes, and Houston is named by The Business Journals to be the the most prosperous city.
The candidates will have freedom to choose from a variety of bioinformatics topics on the basis of their major research interests. Strong candidate can be a PhD with computational biology, biostatistics, biophysics, or any other related background. He will be interested in developing computational algorithms or biomedical databases, inventing statistical methods, or combining cutting-edge bioinformatics technologies to make biomedical discovery in the next generation DNA sequencing data. The candidates will combine epigenome, genome, and transcriptome data to conduct research at a systematic scale, with particular interest in cancer biology or regenerative medicine. Research experiences in biostatistics, machine learning, cancer genomics, epigenomics, or stem cell regenerative medicine will be strongly preferred. Successful candidate will have many opportunities to collaborate with fantastic wet-bench biologists and physician scientists in translational biomedical research.
