Job:Postdoctoral Fellowship Position (Bioinformatics), Tianjin University
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Position: Postdoctoral Fellowship Position

Research Area: Bioinformatics

Full/Part Time: Full Time

Investigator: Goh, Wilson Wen Bin

Date Posted: 11/2/15

Description: The School of Pharmaceutical Science and Technology (SPST; Dean: Jay Siegel, PhD) at Tianjin University (TU), is seeking a postdoctoral research fellow to contribute to its bioinformatics initiatives within the Goh Research Group.

Our interest areas lies in 1/ the development of novel network-based algorithms for resolving consistency and coverage issues in proteomics data, 2/ specific application of bespoke algorithms for identifying potential biomarker or therapeutic targets in clinical research and 3/ leveraging our insights in proteomics as a means of pursuing panomic (genomics and transcriptomics) research. Disease paradigms we currently cover include breast, kidney and prostate cancer, neurological degenerative disease, as well as cardiovascular disorders.

The successful candidate will be expected to contribute productively towards the research and education goals within the SPST. In time, he/she can expect to become part of a close-knit international team with leading collaborators in Harvard (Cardiology), ETH Zurich (Proteomics) and the National University of Singapore (Bio-informatics/Statistics, Neurobiology).

Application: Please send your CV, an outline of your research interests, and names, phone numbers and email addresses of two referees to Prof/Dr. Wilson Goh (WILSON.GOH@TJU.EDU.CN).

Requirements: The candidate must have a PhD or equivalent experience. He/she should be highly independent and goal-driven. He/she should also have:

Good knowledge of statistics and mathematics

Proficiency in scripting languages (PERL, Python, R, UNIX)

Basic knowledge of biochemistry, molecular biology, network biology and mass spectrometry

C# and Java programming knowledge is preferred but not required

Candidates with additional experience in gene expression analysis (microarray, NGS) will be considered more favorably.

networks proteome genome SWATH • 3.7k views
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