The current recruitment is seeking a self-motivated scientist to work on a tumorigenesis-related project using in vitro and in vivo systems. This is a joint position with two laboratories: Dr. Leping Li in the Biostatistics and Computational Biology Branch and Dr. Xiaoling Li in the Signal Transduction Laboratory. Dr. Leping Li’s lab specializes in data mining and bioinformatics analysis. The lab develops computational/statistical methods to mine large-scale genomic data and generate testable hypotheses. Historically a “dry” lab, the lab incorporated a wet-lab component in 2016. Dr. Xiaoling Li’s lab is a traditional “wet” lab that studies signal transduction in the context of metabolic homeostasis, developmental biology, and tumorigenesis through molecular and genetic approaches in mouse and cultured cell systems. The main project for this position will be to investigate the roles of a few candidate genes, which were generated from data mining, in tumorigenesis and cancer progression.
Applicants must have a doctoral degree in molecular biology, cancer biology, or related area with less than five years of postdoctoral research experience. Knowledge in RNA biology, DNA repair, apoptosis, and/or tumor immunology is desirable. Experience with basic molecular and biochemical techniques, mouse animals, cell culture, CRISPR technology, and next-generation sequencing is preferred.
Please send a cover letter, curriculum vitae, and list of three references to Dr. Xiaoling Li at email@example.com or Dr. Leping Li at firstname.lastname@example.org .
The NIH is an equal opportunity employer. The NIH is dedicated to building a diverse community in its training and employment programs.
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