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. Our lab is associated with The Genome Institute at Washington University (http://genome.wustl.edu/) and the Department of Medicine.
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:
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.
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:
Review of applications will begin immediately and will continue until the position is filled. Please send a CV, including a list of three references, to Dr. Christopher Maher (cmaher at dom dot wustl dot edu).
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:
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.
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:
Review of applications will begin immediately and will continue until the position is filled. Please send a CV, including a list of three references, to Dr. Christopher Maher (cmaher at dom dot wustl dot edu).