Postdoctoral Fellow or Staff Scientist in Computational Biology of RNA Regulation

Rutgers University - New Jersey Medical School
Cancer Institute of New Jersey & Brain Health Institute of New Jersey
United States NJ Newark
tianlab.org

Description

We are looking for a motived individual to join our lab as a Postdoctoral Fellow/Staff Scientist to study RNA regulation using computational approaches. He/she will use Bioinformatics and Computational Biology techniques to study impact of human sequence variation on RNA processing and metabolism, especially in the neurological system. Collaboration with experimental scientists in the lab for validation is expected. The successful candidate will also develop novel algorithms for specific genomic analysis.

Our lab uses molecular biology, genomics, and computational approaches to study RNA biology, focusing on the mechanisms and consequences of alternative cleavage and polyadenylation (APA), and its interplays with other gene regulatory mechanisms, such as transcriptional dynamics, epigenetics, and mRNA metabolism. Detailed research topics and publications can be found at tianlab.org.

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. We offer competitive salary and employee benefits. The salary will be commensurate with experience.

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


Qualifications

Ph.D. degree in Computational Biology or a related field, or Masters degree with >2 years of working experience (for a Staff position only).


Start date

As soon as possible

Start date

To be determined

How to Apply

Contact PI by email.


Contact

Bin Tian