The laboratories of Drs. Russell Ryan and Tomasz Cierpicki in the University of Michigan Medical School Department of Pathology are seeking a highly motivated postdoctoral fellow with experience in epigenomic data analysis. Projects will focus on evaluating the epigenetic and functional effects of perturbing chromatin regulatory proteins in hematological cancer models. Approaches will include CRISPR-based “epigenome editing” as well as novel small-molecule agents. Our goal is to find new epigenome-targeting strategies for the treatment of cancer.
The successful applicant will be based primarily in the lab of Dr. Ryan, and will analyze genome-wide data sets (ChIP-Seq, ATAC-Seq, genome topology assays, dCas9-based functional screens of regulatory elements) from leukemia and lymphoma models, as well as evaluating the effects of novel small-molecule inhibitors of chromatin regulatory proteins that have been developed in the lab of Dr. Cierpicki. Novel agents may include inhibitors of the polycomb system (e.g. PRC1 components), H3K36 methyltransferase system, acetyltransferases, and others. Inhibition strategies include disruption of protein-protein interactions and protein degradation (PROTAC). Studies will be focused primarily on hematologic and lymphoid malignancies, and may include both cell line and in vivo work.
This is primarily a computational position, and the successful applicant will work closely with experimental and computational staff in the Ryan lab, as well as chemical biologists in the Cierpicki lab. Depending on the skills and interests of the applicant, the position may include some wet lab work. The fellow must be able to work collaboratively and will supervise and mentor junior colleagues as part of their career development.
Applicants should possess a Ph.D. in a related field, with a strong publication track record, and should demonstrate excellent oral communication and scientific writing skills. Experience with scripting languages (e.g. R, Python) and computational analysis of next-generation sequencing datasets is required. Wet lab experience, including molecular biology, tissue culture, and mouse modeling experience may be desirable, depending on the specific project.
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