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Post-Doctoral Associate

The Hormel Institute, University of MN
Austin, Minnesota (US)
Closing date
Nov 19, 2021

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Life Sciences, Cancer Research
Position Type
Full Time
Job Type
Organization Type

Job Details

A Postdoctoral Research Fellow position is available immediately in the laboratory of Dr. Liang Liu at the Hormel Institute, University of Minnesota. Our laboratory pursues both basic and translational cancer research using a combination of functional genomics and bioinformatics analysis, cell-based studies, clinical tumor specimens, and mouse models. Research topics include the identification of novel molecular targets and pathways in skin tumorigenesis, dissection of the crosstalk between genetic and epigenetic mechanisms in cancer and inflammation, and functional validation of biomarker genes that we identified for developing targeted cancer prevention and treatment.

We are recruiting a highly motivated postdoctoral scientist to join the lab. Prior experiences in PCR, CRISPR, immunohistochemistry, mouse genetics and basic bioinformatics are desired. Primary responsibility will be to lead research projects independently or with appropriate supervision as needed. Day to day responsibilities include: Design and perform experiments, develop new research protocols when needed, collect and analyze data, review literature and present data at local and national meetings from time to time, prepare research proposals and manuscripts. 


The Hormel Institute, a biomedical research center of the University of Minnesota, was established in 1942 and has a long reputation in producing world class medical research. The Institute's research success has resulted in a second major expansion of its research facilities and includes a new state of the art laboratory building to open in 2016. The Hormel Institute offers its research scientists complete access to state of the art equipment that includes a FACS cell sorter; confocal microscopy; flow cytometry; protein crystallography robotics and defraction system; nano-HPLC-AB SCIEX triple TOF 5600 mass spectrometry; and a Blue Gene/L and 3 racks of Linux GPU supercomputers for computational biology.

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