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The translational genomics lab at the Icahn School of Medicine at Mount Sinai is looking for a post-doctoral researcher to assess the role of non-coding RNAs (ncRNAs) in gene regulatory networks underlying brain disorders. The position involves integrating non-coding and coding RNA expression data with prior genetic knowledge, as well as quantifying non-coding RNA isoforms, co-expression and network-based analyses and modeling. The candidate will use the latest next-generation sequencing technologies to map full-length noncoding RNA isoform variants in brain, and identify regulatory and/or dysregulated ncRNAs in disease gene networks.
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 genomics, computational biology, or bioinformatics with a strong background in RNA biology and excellent quantitative skills. The selected applicant will work within a multidisciplinary team led by Dr. Dalila Pinto, and be part of the PsychENCODE project (http://psychencode.org). This position requires demonstrated experience with UNIX, Python, C/C++ and R, and expertise in statistical interpretation and analysis of RNA-Seq data. Specific qualifications include:
Experience in the following areas:
Additional qualifications include:
The Icahn School of Medicine at Mount Sinai is an equal opportunity/affirmative action employer. We recognize the power and importance of a diverse employee population and strongly encourage applicants with various experiences and backgrounds.
To apply, please e-mail a CV, a brief description of research experience and interests, and contact information for 2-3 references to:
[email protected]
Dalila Pinto, PhD, Assistant Professor
Departments of Psychiatry, and Genetics and Genomic Sciences
Division of Psychiatric Genomics
Mindich Child Health & Development Institute and
Icahn Institute for Genomics and Multiscale Biology
Icahn School of Medicine at Mount Sinai (Manhattan, New York)
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 genomics, computational biology, or bioinformatics with a strong background in RNA biology and excellent quantitative skills. The selected applicant will work within a multidisciplinary team led by Dr. Dalila Pinto, and be part of the PsychENCODE project (http://psychencode.org). This position requires demonstrated experience with UNIX, Python, C/C++ and R, and expertise in statistical interpretation and analysis of RNA-Seq data. Specific qualifications include:
Experience in the following areas:
- Mapping RNAs using short and long-read (IsoSeq) RNA sequencing data
- Annotation and reconstruction of transcript isoforms
- Co-expression and network-based/modeling
- Familiarity with large-scale GWAS
Additional qualifications include:
- Programming (e.g. python)
- Statistical analysis (e.g. R)
- Ability to work independently and complete tasks efficiently
- Strong work ethic and attention to detail
- Excellent verbal and written communication skills
- Ability to work in a collaborative setting
The Icahn School of Medicine at Mount Sinai is an equal opportunity/affirmative action employer. We recognize the power and importance of a diverse employee population and strongly encourage applicants with various experiences and backgrounds.
To apply, please e-mail a CV, a brief description of research experience and interests, and contact information for 2-3 references to:
[email protected]
Dalila Pinto, PhD, Assistant Professor
Departments of Psychiatry, and Genetics and Genomic Sciences
Division of Psychiatric Genomics
Mindich Child Health & Development Institute and
Icahn Institute for Genomics and Multiscale Biology
Icahn School of Medicine at Mount Sinai (Manhattan, New York)