Fellow positions at Penn Epigenetics Institute: Philadelphia, PA, United States.
Positions for wet (experimental), dry (computational), or hybrid biologists are available in the interdisciplinary lab of Dr. Golnaz Vahedi.
The Vahedi laboratory is part of the Department of Genetics, Perelman School of Medicine at the University of Pennsylvania.
We are a core member of the Epigenetics Institute (https://goo.gl/GnaZdx) and a member of the Institute for Immunology (https://goo.gl/Vi2jAP).
We are a member of the Human Pancreas Analysis Program at Penn (https://hpap.pmacs.upenn.edu/) and have an unprecedented opportunity to perform deep profiling of the human endocrine pancreas and its interaction with the immune system.
Our laboratory is multidisciplinary, integrating computational and experimental approaches to develop a system-level understanding of gene regulation in immune cells.
We blend epigenomics, human and mouse genetics, immunology, and computational biology to pursue a new understanding of gene regulation in the immune system.
We use bulk assays including ChIP-seq, ATAC-seq, and chromatin conformation assays such as HiC, in addition to cutting-edge single-cell genomic assays such as single-cell (sc)ATAC-seq and scRNA-seq or the single-cell Oligopaint imaging technique.
Our lab’s major contributions in less than 5 years :
(1) the discovery of genome misfolding in type 1 diabetes (https://www.cell.com/immunity/fulltext/S1074-7613(20)30030-3 received major media attention and featured on journal’s cover).
(2) the discovery of TCF-1 as a pioneer factor in T cells (https://www.cell.com/immunity/fulltext/S1074-7613(18)30033-5 featured on journal’s cover).
(3) the development of a novel computational method for the joint profiling of chromatin accessibility and CAR-T integration site analysis at the single-cell level (https://www.pnas.org/content/early/2020/02/19/1919259117.short)
The lab is funded by National Institutes of Health. Our contribution to single-cell genomic field was recently recognized by a Chan Zuckerberg Initiative award.
Experimental candidates are required to hold a PhD or a visiting scholar in molecular biology, immunology, or biochemistry. Experience in genomics and epigenomics will be viewed favorably.
Potential training opportunities exist for the experimental scientist joining our lab to learn computational genomics.
Computational candidates are required to hold a PhD in computer science, engineering, bioinformatics or related programs. Expertise in machine learning and statistics in addition to programing in Python and R in a Unix environment is required. Trainees interested in image processing of 3D FISH imaging data are encouraged to apply.
Further information about our lab could be found at http://vahedilab.github.io/LabSite/
Interested applicants should submit a CV to email@example.com.