Job ID: 5472
Job date: 2017-01-30
End Date:
Company : University of Southern California Country : Role : Postdoc
Job date: 2017-01-30
End Date:
Company : University of Southern California Country : Role : Postdoc
Job Description:
We are looking for a highly motivated first-year postdoctoral fellow interested in developing computational methods related to expression quantitative trait, alternative (pre)RNA splicing, transcriptome-wide association studies and chromatin structures in normal and glioma cells. The post-doc will be jointly supervised by Drs. Liang Chen (Computational Biology) and Rose Lai (Neurology and Preventive Medicine). Applicants should hold a PhD degree in bioinformatics or computational biology, or a PhD in a biology-related field but extensive experience in bioinformatics, and have previous experience and track record in Genome Wide Association Study (GWAS) analyses and high-throughput next-generation sequencing, including RNA-Seq, DNA-Seq, Exome-Seq, ChIP-Seq and ATAC-Seq analyses. A strong quantitative background is required. The candidate should be proficient in programming (e.g., Java, C/C++, Perl, R) and familiar with the Linux/Unix environment. The candidate should possess excellent written and oral communication skills.
Additional Info:
The Lai and Chen Labs are funded by grants from the NIH and offer a vibrant and multi-disciplinary research environment, with collaborations with laboratory scientists that work together to address questions germane to the functional characterization of glioma GWAS risk loci and the molecular genomics of brain cancers. We offer competitive salaries and benefit packages. The position is available starting 1st March 2017. University of Southern California’s program in Computational Biology and Bioinformatics is one of the earliest training programs in Bioinformatics in this country. The Department was found by Dr. Michael Waterman, one of the originator of computational biology. Over the last 30 years, many prominent and leading computational biologists have been trained at USC. The Department of Preventive Medicine has been at the forefront of research relating to GWAS and post-GWAS functional characterization. Since its founding in 1977, the Department has consistently ranked at the top of NIH funding among comparable medical school departments. Please send inquiries and CV to Dr. Liang Chen (liang.chen@usc.edu) and Dr. Rose Lai (rose.lai@med.usc.edu) Start date: March 01, 2017 How to Apply: Email Contact: Rose Lai and Liang Chen Rose.Lai@med.usc.edu; Liang.Chen@usc.edu [Click Here to Access the Original Job Post]
We are looking for a highly motivated first-year postdoctoral fellow interested in developing computational methods related to expression quantitative trait, alternative (pre)RNA splicing, transcriptome-wide association studies and chromatin structures in normal and glioma cells. The post-doc will be jointly supervised by Drs. Liang Chen (Computational Biology) and Rose Lai (Neurology and Preventive Medicine). Applicants should hold a PhD degree in bioinformatics or computational biology, or a PhD in a biology-related field but extensive experience in bioinformatics, and have previous experience and track record in Genome Wide Association Study (GWAS) analyses and high-throughput next-generation sequencing, including RNA-Seq, DNA-Seq, Exome-Seq, ChIP-Seq and ATAC-Seq analyses. A strong quantitative background is required. The candidate should be proficient in programming (e.g., Java, C/C++, Perl, R) and familiar with the Linux/Unix environment. The candidate should possess excellent written and oral communication skills.
Requeriments :
Skills :
- DNA sequencing
- Genetics
- Lunix/Unix
- Next Generation Sequencing
- Programing in C
- Programing in C++
- Programing Skills
- Programming in Java
- Programming in PERL
- Programming in R
- RNA-seq
Areas :
Additional Info:
The Lai and Chen Labs are funded by grants from the NIH and offer a vibrant and multi-disciplinary research environment, with collaborations with laboratory scientists that work together to address questions germane to the functional characterization of glioma GWAS risk loci and the molecular genomics of brain cancers. We offer competitive salaries and benefit packages. The position is available starting 1st March 2017. University of Southern California’s program in Computational Biology and Bioinformatics is one of the earliest training programs in Bioinformatics in this country. The Department was found by Dr. Michael Waterman, one of the originator of computational biology. Over the last 30 years, many prominent and leading computational biologists have been trained at USC. The Department of Preventive Medicine has been at the forefront of research relating to GWAS and post-GWAS functional characterization. Since its founding in 1977, the Department has consistently ranked at the top of NIH funding among comparable medical school departments. Please send inquiries and CV to Dr. Liang Chen (liang.chen@usc.edu) and Dr. Rose Lai (rose.lai@med.usc.edu) Start date: March 01, 2017 How to Apply: Email Contact: Rose Lai and Liang Chen Rose.Lai@med.usc.edu; Liang.Chen@usc.edu [Click Here to Access the Original Job Post]