Job ID: 5835
Job date: 2017-12-04
End Date:
Company : Icahn School of Medicine at Mount Sinai Country : Role : Postdoc
Job date: 2017-12-04
End Date:
Company : Icahn School of Medicine at Mount Sinai Country : Role : Postdoc
Job Description:
The Genomics and Multiscale Biology Institute and Department of Genetics and Genomic Sciences invite applications for a postdoctoral fellow position to perform computational biology/bioinformatics research on human aging and age-related diseases. The position is supported through a newly funded NIH project. The group focuses on developing novel computational methods to better understand human aging and diseases by leveraging the big biomedical data including but not limited to next generation sequencing data, gene expression, DNA methylation and proteomic data. Qualifications: Candidates with recent PhD degree in computational biology and bioinformatics, computer science, statistics, biology, mathematics, physics, or related majors are encouraged to apply. Familiarity with one or more programming languages (R, python, Matlab, etc.) and good statistical trainings are desirable. Previous experience in biological data handling is preferred. We provide competitive compensation commensurate with experience. Housing subsidy is provided to selected candidates and they are eligible for a number of standard benefits including medical, dental, and vision coverage, along with a variety of life insurance and disability plans.
Additional Info:
The Icahn School of Medicine at Mount Sinai (ISMMS), located next to Central Park on the Upper East Side of Manhattan, New York city, is one of the foremost medical schools in the United States. In 2017, the Icahn School of Medicine at Mount Sinai ranks 22nd in research according to U.S. News & World Report, 13th in NIH funding among U.S Medical Schools, and 2nd in NIH funding per primary investigator. Start date: As soon as possible How to Apply: Interested candidates should submit CV and names with contact information of three referees to Dr. Zhidong Tu ( zhidong dot tu@mssm dot edu) for consideration.[Click Here to Access the Original Job Post]
The Genomics and Multiscale Biology Institute and Department of Genetics and Genomic Sciences invite applications for a postdoctoral fellow position to perform computational biology/bioinformatics research on human aging and age-related diseases. The position is supported through a newly funded NIH project. The group focuses on developing novel computational methods to better understand human aging and diseases by leveraging the big biomedical data including but not limited to next generation sequencing data, gene expression, DNA methylation and proteomic data. Qualifications: Candidates with recent PhD degree in computational biology and bioinformatics, computer science, statistics, biology, mathematics, physics, or related majors are encouraged to apply. Familiarity with one or more programming languages (R, python, Matlab, etc.) and good statistical trainings are desirable. Previous experience in biological data handling is preferred. We provide competitive compensation commensurate with experience. Housing subsidy is provided to selected candidates and they are eligible for a number of standard benefits including medical, dental, and vision coverage, along with a variety of life insurance and disability plans.
Requeriments :
Skills :
- Next Generation Sequencing
- Programing in Python
- Programing Skills
- Programming in Matlab
- Programming in R
- Statistics
Areas :
Additional Info:
The Icahn School of Medicine at Mount Sinai (ISMMS), located next to Central Park on the Upper East Side of Manhattan, New York city, is one of the foremost medical schools in the United States. In 2017, the Icahn School of Medicine at Mount Sinai ranks 22nd in research according to U.S. News & World Report, 13th in NIH funding among U.S Medical Schools, and 2nd in NIH funding per primary investigator. Start date: As soon as possible How to Apply: Interested candidates should submit CV and names with contact information of three referees to Dr. Zhidong Tu ( zhidong dot tu@mssm dot edu) for consideration.[Click Here to Access the Original Job Post]