Job ID: 3381
Job date: 2015-05-12
End Date:
Company : University of Pennsylvania Country : Role : Faculty
Job date: 2015-05-12
End Date:
Company : University of Pennsylvania Country : Role : Faculty
Job Description:
Super-enhancers delineate disease-associated regulatory nodes in T cells.
Vahedi G, Kanno Y, Furumoto Y, Jiang K, Parker SC, Erdos MR, Davis SR, Roychoudhuri R, Restifo NP, Gadina M, Tang Z, Ruan Y, Collins FS, Sartorelli V, O'Shea JJ.
Nature. 2015 Apr 23;520(7548):558-62. doi: 10.1038/nature14154. Epub 2015 Feb 16.
STATs shape the active enhancer landscape of T cell populations.
Vahedi G, Takahashi H, Nakayamada S, Sun HW, Sartorelli V, Kanno Y, O'Shea JJ.
Cell. 2012 Nov 21;151(5):981-93. doi: 10.1016/j.cell.2012.09.044.
The ideal candidate will have a Ph.D. or M.Sc. in statistics, bioinformatics, biostatistics, computer science, electrical engineering, or physics. Experience in programming languages such as R, Python, Java, and C++; and proficiency in Linux are required. Experience in high-dimensional genomic analysis i.e. development of next-generation sequencing data analysis tools and pipelines is preferred. Familiarity with human genetics is a plus. The primary research focus of the Vahedi lab will be on developing novel computational methods for the integration of high-dimensional genomics data sets within the context of immune system.
Job Information
Position Type: Bioinformatics Analyst (Next-gen sequencing)
Start Date: June 01, 2015
Duration: Full Time
Status: open
Contact Information
University of Pennsylvania
Department of Genetics and Institute for Immunology
Dr. Golnaz Vahedi
vahedilab.jobs@gmail.comhttp://vahedilab.github.io/LabSite/
How To Apply:Email your CV to vahedilab.jobs@gmail.com
Additional Info:
[Click Here to Access the Original Job Post]
ISCB Job Board
BioinformaticianUniversity of PennsylvaniaDepartment of Genetics and Institute for ImmunologyPA-Philadelphia The laboratory of Dr. Vahedi in the Department of Genetics at the University of Pennsylvania is seeking a Bioinformatician. Representative publications include:Super-enhancers delineate disease-associated regulatory nodes in T cells.
Vahedi G, Kanno Y, Furumoto Y, Jiang K, Parker SC, Erdos MR, Davis SR, Roychoudhuri R, Restifo NP, Gadina M, Tang Z, Ruan Y, Collins FS, Sartorelli V, O'Shea JJ.
Nature. 2015 Apr 23;520(7548):558-62. doi: 10.1038/nature14154. Epub 2015 Feb 16.
STATs shape the active enhancer landscape of T cell populations.
Vahedi G, Takahashi H, Nakayamada S, Sun HW, Sartorelli V, Kanno Y, O'Shea JJ.
Cell. 2012 Nov 21;151(5):981-93. doi: 10.1016/j.cell.2012.09.044.
The ideal candidate will have a Ph.D. or M.Sc. in statistics, bioinformatics, biostatistics, computer science, electrical engineering, or physics. Experience in programming languages such as R, Python, Java, and C++; and proficiency in Linux are required. Experience in high-dimensional genomic analysis i.e. development of next-generation sequencing data analysis tools and pipelines is preferred. Familiarity with human genetics is a plus. The primary research focus of the Vahedi lab will be on developing novel computational methods for the integration of high-dimensional genomics data sets within the context of immune system.
Job Information
Position Type: Bioinformatics Analyst (Next-gen sequencing)
Start Date: June 01, 2015
Duration: Full Time
Status: open
Contact Information
University of Pennsylvania
Department of Genetics and Institute for Immunology
Dr. Golnaz Vahedi
vahedilab.jobs@gmail.comhttp://vahedilab.github.io/LabSite/
How To Apply:Email your CV to vahedilab.jobs@gmail.com
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]