Job ID: 5005
Job date: 2015-12-29
End Date:
Company : Mount Sinai Health System Country : Role : Postdoc
Job date: 2015-12-29
End Date:
Company : Mount Sinai Health System Country : Role : Postdoc
Job Description:
The Icahn School of Medicine at Mount Sinai is looking for a post-doctoral researcher to assess the role of noncoding RNAs in gene regulatory networks underlying neurodevelopmental disorders. The position involves integrating noncoding and coding RNA expression data with prior genetic knowledge, as well as quantifying noncoding RNA isoforms, co-expression and network-based analyses and modeling. The candidate will use the latest next-generation sequencing technologies to analyze transcriptomes and identify long full-length noncoding RNA isoform variants.
We seek a motivated postdoctoral candidate with strong computational and analytical skills and an interest in applying computational and systems biology approaches. The ideal candidate will have a Ph.D. in computational genomics, computational biology, bioinformatics or genomics with a strong background in RNA biology and excellent quantitative skills. The selected applicant will work within a multidisciplinary team and be part of a NIMH-funded PsychENCODE project. This position requires demonstrated experience with UNIX, Python, C/C++ and R, and expertise in statistical interpretation and analysis of RNA-Seq data.
Duties and Responsibilities:
Responsibilities include data management and analysis, and scientific writing.
Supervise junior staff.
Additional Info:
[Click Here to Access the Original Job Post]
The Icahn School of Medicine at Mount Sinai is looking for a post-doctoral researcher to assess the role of noncoding RNAs in gene regulatory networks underlying neurodevelopmental disorders. The position involves integrating noncoding and coding RNA expression data with prior genetic knowledge, as well as quantifying noncoding RNA isoforms, co-expression and network-based analyses and modeling. The candidate will use the latest next-generation sequencing technologies to analyze transcriptomes and identify long full-length noncoding RNA isoform variants.
We seek a motivated postdoctoral candidate with strong computational and analytical skills and an interest in applying computational and systems biology approaches. The ideal candidate will have a Ph.D. in computational genomics, computational biology, bioinformatics or genomics with a strong background in RNA biology and excellent quantitative skills. The selected applicant will work within a multidisciplinary team and be part of a NIMH-funded PsychENCODE project. This position requires demonstrated experience with UNIX, Python, C/C++ and R, and expertise in statistical interpretation and analysis of RNA-Seq data.
Duties and Responsibilities:
Responsibilities include data management and analysis, and scientific writing.
Supervise junior staff.
Requeriments :
Skills :
- Bioinformatics
- Biology
- Computational Biology
- Lunix/Unix
- Modeling
- Programing in C
- Programing in C++
- Programing in Python
- Programming in R
- RNA-seq
- Systems Biology
Areas :
Additional Info:
[Click Here to Access the Original Job Post]