Postdoctoral Fellow in RNA Biology

Location
New Jersey (US)
Salary
Salary will be based on NIH guidelines and commensurate with experience.
Posted
October 17 2017
Position Type
Full Time
Organization Type
Academia
Job Type
Postdoc

We are seeking a motivated postdoctoral candidate to study RNA biology, focusing on molecular mechanisms and cellular consequences of alternative polyadenylation in cancers and neurodegenerative diseases.

The successful candidate will use cutting-edge techniques, including genomic engineering with CRISPR, single cell analysis (such as scRNA-seq and smFISH), and deep sequencing of RNA at different steps of biogenesis and metabolism (such as NET-seq to study transcription and Ribo-seq to study translation) to examine processing mechanisms and metabolisms of mRNAs and ncRNAs. Our lab uses molecular biology, genomics, and computational approaches to study RNA biology, centering on alternative polyadenylation, a widespread mechanism in eukaryotes that regulates gene expression at multiple levels (see a recent review: http://www.nature.com/nrm/journal/v18/n1/full/nrm.2016.116.html). Detailed information and publications of the lab can be found at http://tianlab.org.

Qualifications: Ph.D. degree in Molecular Biology or a related field. Experience with embryonic stem cells is a strong plus but not required.

Our lab is located in Northern New Jersey. Many scientific and educational opportunities are available in the NY/NJ metropolitan area, as well as cultural and entertainment activities. Rutgers University is a leading national research university and the state’s preeminent, comprehensive public institution of higher education.

Interested individuals should contact Dr. Bin Tian by email (btian@rutgers.edu) with a CV including a summary of previous research and contact information of 2-3 referees.

Bin Tian, Ph.D.

Professor

Department of Microbiology, Biochemistry and Molecular Genetics

New Jersey Medical School

Cancer Institute of New Jersey

Brain Health Institute

Rutgers University

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