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Postdoctoral Fellow in Genetic Epidemiology
Company Information
Memorial Sloan Kettering Cancer Center (MSK) is one of the world’s premier cancer centers, committed to exceptional patient care, leading-edge research, and superb educational programs. The blending of research with patient care is at the heart of everything we do. The institution is a comprehensive cancer center whose purposes are the treatment and control of cancer, the advancement of biomedical knowledge through laboratory and clinical research, and the training of scientists, physicians, and other health care workers.
We are seeking a highly motivated candidate interested in integrative omics studies focused on understanding the genetic architecture of breast cancer particularly triple negative breast cancer (TNBC). The candidate will have the opportunity to analyze single cell RNA-seq and ATAC-seq data generated from either normal breast tissues or adjacent normal tissues collected from TNBC patients. With integration of GWAS data from Breast Cancer Association Consortium (BCAC), the study aims to facilitate the understanding of cell-of-origin of TNBC, as well as to identify potentially causal transcription factors and genes involved in the genetic predisposition of this aggressive subtype of breast cancer. The role of identified candidate genes will be verified using various functional validation assays in cancer cell lines and human organoid models. The candidate will also have the opportunity to participate in work related to methodology development. The postdoctoral fellow will be mentored by Dr. Xiang Shu and Dr. Xinjun Wang for a period of two years. The Full list of publications of Dr. Shu: https://www.ncbi.nlm.nih.gov/myncbi/1-Wzd30p7ZKQG/bibliography/public/ and Dr. Wang: https://www.ncbi.nlm.nih.gov/myncbi/xinjun.wang.3/bibliography/public/
We are seeking a highly motivated candidate interested in integrative omics studies focused on understanding the genetic architecture of breast cancer particularly triple negative breast cancer (TNBC). The candidate will have the opportunity to analyze single cell RNA-seq and ATAC-seq data generated from either normal breast tissues or adjacent normal tissues collected from TNBC patients. With integration of GWAS data from Breast Cancer Association Consortium (BCAC), the study aims to facilitate the understanding of cell-of-origin of TNBC, as well as to identify potentially causal transcription factors and genes involved in the genetic predisposition of this aggressive subtype of breast cancer. The role of identified candidate genes will be verified using various functional validation assays in cancer cell lines and human organoid models. The candidate will also have the opportunity to participate in work related to methodology development. The postdoctoral fellow will be mentored by Dr. Xiang Shu and Dr. Xinjun Wang for a period of two years. The Full list of publications of Dr. Shu: https://www.ncbi.nlm.nih.gov/myncbi/1-Wzd30p7ZKQG/bibliography/public/ and Dr. Wang: https://www.ncbi.nlm.nih.gov/myncbi/xinjun.wang.3/bibliography/public/
The ideal candidate should have:
• PhD degree in epidemiology, statistics/biostatistics, bioinformatics, human genetics, or a related field
• Solid methodological training in quantitative science, be comfortable working with large data sets, proficient in at least one of the statistical programming languages R/Python and have experience working on Unix/Linux systems and shell scripting
• Experience in GWAS and (bulk/single cell) omics data analysis