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Postdoctoral Fellow
March 20, 2019 - April 21, 2019
Postdoctoral Research Scientist in Mammalian Tissue & Organ Regeneration
Seattle Children’s Research Institute & University of Washington, Seattle, WA
Postdoctoral Scientist Position Available: An exceptional opportunity is available for a postdoctoral scientist to work on a newly funded NIH-RO1 grant at the Seattle Children’s Research Institute & University of Washington. We are studying organ regeneration & scarless wound healing in adult mammals using the African spiny mouse model (pmid: 23108966; BioRxiv-315069). Our current focus is on a comparative analysis of wound healing in human, mouse, and spiny mouse kidney and vascular system. We are seeking motivated individuals with a strong publication record, an interest in translational research, and experience in one or more of the following areas: mouse models, RNA seq analysis, single cell transcriptomics, epigenetics, enhancer characterization, bioinformatics, kidney or vascular development/disease, and/or fibrosis. Screening of applicants will begin immediately and continue until the position is filled.
We are a multi-investigator group of basic and clinical investigators in Seattle, WA. Seattle Children’s Research Institute is located in close proximity to Fred Hutchinson Cancer Research Center, the Allen Institute, the Institute for Systems Biology, and the UW-South Lake Union campus. Please send a CV, statement of research interests, and names/contact information for three reference letters by email to:
Mark W. Majesky, Ph.D., email: mwm84@uw.edu, using the subject line “Postdoctoral position”.
Requirements
Required education:
- Recent or expected Ph.D. degree in a biological discipline related to the project.
Preferred experience in one or more of the following:
- Significant experience in epigenetics-related techniques (ATAC-seq; ChIP-seq; Cut&Run assays)
- Some experience in RNA seq analysis, validation of gene targets, and related bioinformatics.
- Some experience in confocal or lightsheet imaging and related image analysis.