Job ID: 4231
Job date: 2015-09-04
End Date:
Company : Vanderbilt University School of Medicine Country : Role : Postdoc
Job date: 2015-09-04
End Date:
Company : Vanderbilt University School of Medicine Country : Role : Postdoc
Job Description:
Jia P, Jin H, Meador CB, Xia J, Ohashi K, Liu L, Pirazzoli V, Dahlman KB, Politi K, Michor F, Zhao Z*, Pao W* (2013) Next-generation sequencing of paired tyrosine kinase inhibitor-sensitive and -resistant EGFR mutant lung cancer cell lines identifies spectrum of DNA changes associated with drug resistance. Genome Research 23:1434-1445
Cheng F, Jia P, Wang Q, Lin CC, Li WH, Zhao Z (2014) Studying tumorigenesis through network evolution and somatic mutational perturbations in the cancer interactome. Molecular Biology and Evolution, 31(8):2156-2169
Jia P, Wang Q, Chen Q, Hutchinson K, Pao W, Zhao Z (2014) MSEA: detection and quantification of mutation hotspots through mutation set enrichment analysis. Genome Biology 15:489
Zhao Z, Xu J, Chen J, Kim S, Reimers M, Bacanu SA, Yu H, Liu C, Sun J, Wang Q, Jia P, Xu F, Zhang Y, Kendler KS, Peng Z, Chen X (2015) Transcriptome sequencing and genome-wide association analyses reveal lysosomal function and actin cytoskeleton remodeling in schizophrenia and bipolar disorder. Molecular Psychiatry, 20(5):563-72
Vanderbilt's Department of Biomedical Informatics (http://dbmi.mc.vanderbilt.edu/) is the largest academic department of biomedical informatics in the country, with more than 45 primary faculty members, an NIH/NLM supported graduate training program, and a portfolio of research and development projects that spans from computational biology and bioinformatics applied to the understanding of biological molecules, through advanced clinical information systems that care for hundreds of thousands of patients at Vanderbilt, to regional health information projects that span many states. Vanderbilt University School of Medicine ranks top 10 in NIH funding. The qualified candidates should be highly motivated in research and have a Ph.D. in bioinformatics, quantitative science, computational biology, molecular biology, or related field upon the job start date. The successful candidate should have some experience in analyzing high-throughput genomic data and proven skills in at least one programming language (Perl, Java, or C/C++). Good understanding of genetics or molecular biology and familiarity with biostatistics are plus. For more information, please visit our web site http://bioinfo.mc.vanderbilt.edu/.
Applicants should send a CV, brief statement of research interests, and reference to:
Zhongming Zhao (zhongming.zhao@vanderbilt.edu),
Ingram Professor & Chief Bioinformatics Officer
Vanderbilt-Ingram Cancer Center
Job Information
Position Type: Post-Doctoral Research Fellowships
Start Date: ASAP
Duration: Full Time
Status: open
Contact Information
Vanderbilt University Medical Center
Biomedical Informatics
Zhongming Zhao
zhongming.zhao@vanderbilt.eduhttp://bioinfo.mc.vanderbilt.edu
How To Apply:email
Additional Info:
[Click Here to Access the Original Job Post]
ISCB Job Board
Postdoctoral Fellow in BioinformaticsVanderbilt University Medical CenterBiomedical InformaticsUSA-TN-Nashville A postdoctoral position is available in Dr. Zhongming Zhao's Bioinformatics and Systems Medicine Laboratory (BSML, http://bioinfo.mc.vanderbilt.edu/) at Vanderbilt University Medical Center. The successful candidate is expected to join an established bioinformatics team. The ongoing projects in BSML focus on precision medicine, functional roles of genetic variants in complex disease, next-generation sequencing data analyses, and regulatory networks. Integrative genomics and systems biology approaches are often applied. Funding is available to support this position for up to three years. The candidate will have the opportunity to access many high throughput datasets and interact with Vanderbilt Medical Center investigators. The lab has an excellent post-doctoral training track record (e.g. 11 former postdocs are currently faculty members, two received Young Investigator Awards from national foundations, and three were finalists for the Vanderbilt Postdoc of the Year Award). Recent publications:Jia P, Jin H, Meador CB, Xia J, Ohashi K, Liu L, Pirazzoli V, Dahlman KB, Politi K, Michor F, Zhao Z*, Pao W* (2013) Next-generation sequencing of paired tyrosine kinase inhibitor-sensitive and -resistant EGFR mutant lung cancer cell lines identifies spectrum of DNA changes associated with drug resistance. Genome Research 23:1434-1445
Cheng F, Jia P, Wang Q, Lin CC, Li WH, Zhao Z (2014) Studying tumorigenesis through network evolution and somatic mutational perturbations in the cancer interactome. Molecular Biology and Evolution, 31(8):2156-2169
Jia P, Wang Q, Chen Q, Hutchinson K, Pao W, Zhao Z (2014) MSEA: detection and quantification of mutation hotspots through mutation set enrichment analysis. Genome Biology 15:489
Zhao Z, Xu J, Chen J, Kim S, Reimers M, Bacanu SA, Yu H, Liu C, Sun J, Wang Q, Jia P, Xu F, Zhang Y, Kendler KS, Peng Z, Chen X (2015) Transcriptome sequencing and genome-wide association analyses reveal lysosomal function and actin cytoskeleton remodeling in schizophrenia and bipolar disorder. Molecular Psychiatry, 20(5):563-72
Vanderbilt's Department of Biomedical Informatics (http://dbmi.mc.vanderbilt.edu/) is the largest academic department of biomedical informatics in the country, with more than 45 primary faculty members, an NIH/NLM supported graduate training program, and a portfolio of research and development projects that spans from computational biology and bioinformatics applied to the understanding of biological molecules, through advanced clinical information systems that care for hundreds of thousands of patients at Vanderbilt, to regional health information projects that span many states. Vanderbilt University School of Medicine ranks top 10 in NIH funding. The qualified candidates should be highly motivated in research and have a Ph.D. in bioinformatics, quantitative science, computational biology, molecular biology, or related field upon the job start date. The successful candidate should have some experience in analyzing high-throughput genomic data and proven skills in at least one programming language (Perl, Java, or C/C++). Good understanding of genetics or molecular biology and familiarity with biostatistics are plus. For more information, please visit our web site http://bioinfo.mc.vanderbilt.edu/.
Applicants should send a CV, brief statement of research interests, and reference to:
Zhongming Zhao (zhongming.zhao@vanderbilt.edu),
Ingram Professor & Chief Bioinformatics Officer
Vanderbilt-Ingram Cancer Center
Job Information
Position Type: Post-Doctoral Research Fellowships
Start Date: ASAP
Duration: Full Time
Status: open
Contact Information
Vanderbilt University Medical Center
Biomedical Informatics
Zhongming Zhao
zhongming.zhao@vanderbilt.eduhttp://bioinfo.mc.vanderbilt.edu
How To Apply:email
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]