Postdoctoral positions are available in Vahedi Lab in the Department of Genetics at the Perelman School of Medicine, University of Pennsylvania, one of the top 5 medical research universities in the nation.
A qualified candidate will be a strongly motivated individual with following qualifications:
• Ph.D. degree in either physical or computational sciences with an emphasis in machine learning. • Solid programming skills (Python/Perl, Java, C/C++, R, SQL) • Computational genomics experience (high throughput sequence analysis). • Excellent spoken and written communication and interaction skills. • Publications in English in relevant areas of research in peer-reviewed journals.
The primary research focus of the Vahedi lab will be on developing novel computational methods for the integration of high-dimensional genomics data sets within the context of immune system. Representative publications include: Super-enhancers delineate disease-associated regulatory nodes in T cells. Vahedi G, Kanno Y, Furumoto Y, Jiang K, Parker SC, Erdos MR, Davis SR, Roychoudhuri R, Restifo NP, Gadina M, Tang Z, Ruan Y, Collins FS, Sartorelli V, O'Shea JJ. Nature. 2015 Apr 23;520(7548):558-62. doi: 10.1038/nature14154. Epub 2015 Feb 16.
STATs shape the active enhancer landscape of T cell populations. Vahedi G, Takahashi H, Nakayamada S, Sun HW, Sartorelli V, Kanno Y, O'Shea JJ. Cell. 2012 Nov 21;151(5):981-93. doi: 10.1016/j.cell.2012.09.044.
Qualified candidates should send their CV to firstname.lastname@example.org