Position: Bioinformatics Scientist
Research Area: Bioinformatics
Full/Part Time: Full Time
Investigator: Goh, Wilson Wen Bin
Date Posted: 2015-07-11
Description: The School of Pharmaceutical Science and Technology (Tianjin University), one of only 4 research centers of excellence, is seeking a bioinformatics scientist to contribute to its research initiatives within the Goh Research Group (Bioinformatics and Systems Biology).
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).
Excellent candidates who apply before the end of September 2015 will be invited to apply for the Tenney Fellowship, a highly competitive two year fast-track program with excellent remuneration and benefits.
Application: Please send your CV, an outline of your research interests, and names, phone numbers and email addresses of three referees to 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.