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Assistant Professor--RNA Computational Biology (Tenure Track)

Perelman School of Medicine at the University of Pennsylvania
Department of Pathology and Laboratory Medicine
United States PA Philadelphia
https://www.med.upenn.edu/apps/faculty_ad/index.php/g330/d5215

Description

The Department of Pathology and Laboratory Medicine at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for an Assistant Professor position in the tenure track. The successful applicant will have experience in the field of Computational Biology with a focus on RNA bioinformatics.


Qualifications

Applicants must have an M.D. or Ph.D. or M.D./Ph.D. degree.

PhD applicants must have a doctorate in computer science, bioinformatics, biostatistics or a closely related discipline with demonstrated excellence in research and education and a strong record of collaboration. The successful candidate with develop an independent research program, synergistic with the scientific interests of the division of Neuropathology and of the Department of Pathology and Laboratory Medicine, especially in the area of RNA biology. The successful applicant will be expected to participate in medical school basic science education as well as graduate training through affiliation with one or more of the inter-departmental, interdisciplinary graduate groups of the Biomedical Graduate Studies (BGS) program.

Expertise and interest in the ongoing basic and translational investigations of RNA processing and function, RNA binding proteins, small RNAs and Ribonucleoproteins will be highly beneficial. We seek candidates with strong informatics background and deep expertise in developing advanced statistical, computational and machine learning tools for large-scale data analysis, modeling and/or simulation of RNA biology and/or gene expression regulation and dysregulation. Examples include the development of novel computational tools to infer and extract biological and mechanistic, molecular insights from multimodal, high throughput sequencing data (e.g. CLIP-Seq, RNA-Seq, Ribo-Seq etc).

The successful applicant must have a clear record of productivity and creativity during their post-doctoral training, and high likelihood of developing an independent, cutting edge program in RNA computational biology.


Start date

To be determined

How to Apply

Apply online at:
https://www.med.upenn.edu/apps/faculty_ad/index.php/g330/d5215

We seek candidates who embrace and reflect diversity in the broadest sense.
The University of Pennsylvania is an EOE. Minorities/Women/Individuals with disabilities/Protected Veterans are encouraged to apply.