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    Opportunity: Postdoctoral Fellow in Bioinformatics & Genetic Epidemiology @ Vanderbilt University Medical Center -- Nashville, TN (US)
    Submitted by Xingyi Guo; posted on Wednesday, December 01, 2021


    Multiple Postdoctoral Research Associate positions are available in the Division of Epidemiology, Department of Medicine at Vanderbilt University Medical Center (VUMC). Our current research concentrates on population-based molecular, genetic and genomic epidemiologic studies for the exploration of novel candidate biomarkers and susceptibility genes for cancer prevention and precision medicine. To achieve the goals, We will apply and develop bioinformatics tools and build statistical models to process large multiomics data, including whole genome sequencing, whole exome sequencing, RNA-seq, array-based genotype, epigenetics, proteomics, and metabolomics data. The chosen candidate will lead independent research projects in the fields of genetics, epigenetics, functional genomics, and bioinformatics & biostatistics. The candidate should also expect to participate in multiple collaborative projects in cancer-related genetic epidemiology studies. Please find more information about our research from Dr. Xingyi Guo's lab website:


    Under the guidance from Dr. Xingyi Guo, the candidate is expected to work on a wide range of bioinformatics, cancer genetics and functional genomics projects. He/she should have a PhD in bioinformatics, computational biology, biostatistics, epidemiology, genetics/genomics or related fields. The candidate should have experience in processing high-throughput genomic and genetic data with biostatistics knowledge. Experience with script languages such as Perl, Python or R. and experience with the Linux/Unix environment are required.


    The position is for two years with the possibility of further extension.


    Salary is commensurate with the NIH pay scale. The postdoc positions will be provided with benefits following the VUMC standards.


    To apply, please send a cover letter, CV, summary of past work, and the names and email addresses of three references to Dr. Xingyi Guo at xingyi.guo[at]


    The deadline for applications is July 30, 2022.


    Our lab is affiliated with Vanderbilt University Medical Center, Division of Epidemiology, Department of Medicine, and Department of Biomedical Informatics. The Division of Epidemiology is committed to conducting research to enhance and expand our understanding of the distribution and determinants of disease, to promoting collaboration aimed at the translation of research into cost-effective strategies of disease prevention and health care delivery, and to training independent investigators in epidemiological research and disease prevention. We have a broad interest in the research of cancer etiology, prevention and precision medicine through developing bioinformatic and statistical approaches and integrating multi-omics data, with a major goal of identifying genetic susceptibility factors for human cancers. Our research projects will primarily build upon valuable clinical and molecular resources based at the VUMC, e.g., the BioVU, a large hospital-based DNA biobank, population-based genome-wide association studies (GWAS) and functional genomics data.

    i) We are applying and developing bioinformatics tools and pipelines to process large multi-omics data, including whole genome sequencing (WGS), whole exome sequencing (WES), RNA-seq, array-based genotype, epigenetics and proteomics data, as well as metabolomics data. We have established computing platforms via our local university computing resource (Advanced Computing Center for Research & Education, ACCRE) and Amazon Web Services (AWS) to handle population-based sequencing and high-dimensional omics data for identifying risk genetic variants (i.e. coding and structure variants) and somatic mutations in human cancers.

    ii) We are highly interested in developing computational epigenetics (i.e. ChIP-seq and ATAC-seq) and statistical approaches to improve discovery of susceptibility non-coding variants (i.e. regulatory variants) and genes from current study designs of genome-wide association studies (GWAS) and transcriptome-wide association studies (TWAS).

    iii) We are building statistical models to explore the inter-relationship of somatic alterations in tumor tissues (i.e. tumor mutational burden/mutational signatures/tumor-infiltrating lymphocytes (TILs)) with genetic susceptibility and carcinogens environmental exposures in human cancers.

    iv) In order to understand the underlying molecular mechanisms of carcinogenesis, we are conducting cell and molecular biology studies, including in vitro functional assays and ChIP-seq to investigate transcription factor regulation mechanisms and biological functions of genes in cell proliferation, invasion, and clonogenesis.


    VUMC wishes to reflect the diversity of society and welcomes applications from all qualified candidates, regardless of backgrounds and individual characteristics.

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