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发帖数: 2 | 1 Postdoctoral Fellow in Translational and Clinical Bioinformatics -
University of Nevada School of Medicine
Job Description
We are seeking a highly motivated and independent postdoctoral fellow with
significant experience in the area of bioinformatics. The position is being
created to strengthen the genomic/genetic research at the Department of
Physiology and Cell Biology, University of Nevada School of Medicine. The
postdoctoral fellow will develop and apply computational tools to assist
with clinical and multi-omic data analysis. The postdoctoral fellow is also
required to work in close collaboration with physiologist, biologists, and
physician scientists from the wet labs. This fully funded position will be
granted initially for two years with the possibility of extension.
Competitive salary will be offered.
The major responsibilities of this position include:
1. Integrate clinical and multi-omic data from own as well as published
sources to answer meaningful questions in the area of translational medicine
, physiology, and cell biology.
2. Utilize multi-omic data to develop molecular signatures for human
diseases.
3. Collect, analyze and, compare next generation sequencing data (including
assembly, annotation, variance identification, and data curation).
4. Develop computational tools to identify and quantify non-coding RNAs
from ribosomal RNA depletion RNA-seq data.
5. Assist with computational work request from the Department of Physiology
and Cell Biology.
Required Qualifications
1. PhD degree in bioinformatics, computational biology, biostatistics, or
relevant field.
2. The applicant should be well versed with programming languages,
including Python, Perl, or C/C++.
3. The applicant must be able to demonstrate the ability to perform custom
scripting languages.
4. Experience with SAS or R is required.
5. The applicant should work efficiently, goal-oriented and accurate, have
a deep interest in research and must be proficient in English.
Preferred Qualifications
1. Applicant with research experience in meta-analysis is highly desirable.
2. Applicant with publications in the field of molecular evolution is
preferred.
3. Applicant with working knowledge of Linux is preferred.
All application documents shall be sent to email: [email protected]/* */ |
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