Postdoctoral Position - BMB

The Pennsylvania State University•University Park, FL

5d•Onsite

About The Position

A postdoctoral position is available in Dr. Paul Babitzke’s research lab within the Center for RNA Molecular Biology and the Department of Biochemistry and Molecular Biology at Penn State. The candidate in this position will study transcription and/or post-transcriptional regulatory mechanisms in B. subtilis and E. coli. The successful candidate will explore fundamental mechanisms that control RNA polymerase pausing and termination, regulation of gene expression by transcription attenuation and translational control mechanisms, structural studies of RNA polymerase using cryo-EM, and/or genome-wide approaches to identify novel RNA-based regulatory mechanisms using RNET-seq, Term-seq, and Structure-seq. This is a term position; length of the term will be discussed during the interview process. Continuation past the term length discussed will be based on university need, performance, and/or availability of funding.

Requirements

Experience in gene regulation, in vitro transcription, RNA biochemistry, protein-RNA interaction, protein-protein interaction, and/or bioinformatics analysis of transcriptomics data is required.
Applicants must have recently received their Ph.D. in the Life Sciences.
Applications must be submitted electronically and include a cover letter containing a description of past accomplishments, research interests and goals, as well as a curriculum vita (CV) that includes a list of publications, conference presentations, and contact information for three referees.

Responsibilities

Study transcription and/or post-transcriptional regulatory mechanisms in B. subtilis and E. coli.
Explore fundamental mechanisms that control RNA polymerase pausing and termination.
Investigate regulation of gene expression by transcription attenuation and translational control mechanisms.
Conduct structural studies of RNA polymerase using cryo-EM.
Utilize genome-wide approaches to identify novel RNA-based regulatory mechanisms using RNET-seq, Term-seq, and Structure-seq.