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Old 06-08-2016, 11:12 AM   #1
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Location: St. Louis, MO

Join Date: Aug 2011
Posts: 8
Default Postdoc Opportunities in Computational RNA Biology/Bioinformatics Postdoc

Position Summary:
A Computational Biology/Bioinformatics Postdoctoral Scholar position focusing on cancer genomics is available in the laboratory of Dr. Christopher Maher ( at The McDonnell Genome Institute at the Washington University School of Medicine in St. Louis. Our lab focuses on developing computational methods for analyzing large-scale cancer genomics data collections from solid tumors to improve our understanding of cancer biology and identify novel therapies for treating patients. Active projects address topics such as the discovery and characterization of novel long non-coding RNAs (lncRNAs), detecting structural variation, cancer evolution, and the development of new bioinformatics tools.

This Postdoctoral Scholar position requires extensive communication and collaboration with our group of computational biologists, programmers, and clinicians, and includes opportunities to initiate and contribute to publication of novel methodologies and scientific findings.

Principal Duties & Responsibilities:
  1. Evaluation and design of experimental plans for sequencing-based projects studying the genetic basis of cancer.
  2. Implementation and development of automated pipelines to analyze high throughput sequencing data.
  3. Integration of genetic and epigenetic changes in cancer including mutations, gene expression data, epigenetic modification, copy number and structural variation.
  4. Integrated pathway and gene network analysis related to cancer.
  5. Analyze and interpret results to communicate with others and produce scientific publications is required.

Required Qualifications
A PhD in bioinformatics, computational biology or related field, with a solid background in programming and statistics.

Preferred Qualifications
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.

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.

To Apply
Please send a letter of interest and curriculum vitae to Dr. Christopher Maher at
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cancer, genomics, lncrna, non-coding rnas, transcriptome

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