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美国华盛顿大学计算生物学/癌症基因组学博士后招聘

2020年05月08日
来源:知识人网整理
摘要:美国华盛顿大学计算生物学/癌症基因组学博士后招聘

  美国华盛顿大学计算生物学/癌症基因组学博士后招聘

  Computational Biology/Cancer Genomics Postdoctoral Scholar

  ·         Washington University

  ·         Location: St. Louis, MO

  ·         Job Number: 7065141

  ·         Posting Date: Mar 6, 2020

  ·         Application Deadline: Open Until Filled

  Job Description

  A postdoctoral scholar position in the area of Genomics and Bioinformatics is available in the Maher laboratory (www.maherlab.com) which is associated with The McDonnell Genome Institute and the Washington University School of Medicine in St. Louis. Our lab focuses on developing computational methods for integrating genomics, transcriptomics, and proteomics data thousands of cancer patients to improve our understanding of cancer biology and identify novel therapies for treating patients. Active projects address topics such as consequences of structural variation, cancer evolution through progression and treatment, optimizing liquid biopsy assays, discovery and characterization of novel long non-coding RNAs, and the development of new bioinformatic tools.

  The successful applicant will focus on applying and developing computational and statistical tools to analyze whole genome and transcriptome sequencing data from cancer patients. Applicants should have a graduate degree in biology, bioinformatics, computational biology, or related field with a solid background in programming and statistics. Candidates should be comfortable working on UNIX/Linux operating system, program with Perl and/or Python, and familiar with statistical analysis packages (SAS, R, or Bioconductor). Also expected to be familiar with bioinformatics tools and genomics databases. Previous experience in cancer genomics would be an advantage but is not essential.

  Principal Duties & Responsibilities:

  Evaluation and design of experimental plans for sequencing-based projects studying the genetic basis of cancer.

  Implementation and development of automated pipelines to analyze high throughput sequencing data.

  Integration of genetic and epigenetic changes in cancer including mutations, gene expression data, epigenetic

  modification, copy number and structural variation.

  Integrated pathway and gene network analysis related to cancer.

  Analyze and interpret results to communicate with others and produce scientific publications is required.

  The successful candidate will be self-motivated, eager to acquire new knowledge and skills on a regular basis, and must demonstrate critical thinking skills. The ability to analyze and interpret results to communicate with others and produce scientific publications is required.

  Environment:

  As one of only three NIH-funded large-scale genome centers in the United States, The McDonnell Genome Institute at Washington University is a leader in genomics research as it applies to the study of biology, human disease and the field of personalized medicine.