A Postdoctoral Scholar position in the area of Cancer Genomics and Bioinformatics is available in the laboratory of Dr. Christopher Maher (www.maherlab.com) 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 non-coding RNA biology, identify novel diagnostic/prognostic biomarkers, and develop novel treatment strategies to improve patient care. The postdoctoral project will focus on developing and applying novel computational methods to discover diagnostic and therapeutic targets. The candidate will also work closely with cancer biologists to test/validate the computational predictions.
Preferred Qualifications
--Recent Ph.D. in Bioinformatics, Computational Biology, Computer Science, Engineering or a related field
-- Expertise in programming and statistics is required. 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).
-- Experience with bioinformatics tools and analysis of omics datasets is required. Experience with machine learning / data mining is preferred. Previous experience in cancer genomics would be an advantage but is not mandatory.
-- The successful candidate will be self-motivated, eager to acquire new knowledge and skills on a regular basis, and must demonstrate independent and critical thinking skills.
-- Must be able to analyze and interpret results, communicate results with an inter-disciplinary team, and have scientific writing experience (i.e., solid track record of scientific publications).
Benefits
This opportunity is eligible for full-time benefits. Please visit our website at http://hr.wustl.edu to view a summary of benefits.
Preferred Qualifications
--Recent Ph.D. in Bioinformatics, Computational Biology, Computer Science, Engineering or a related field
-- Expertise in programming and statistics is required. 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).
-- Experience with bioinformatics tools and analysis of omics datasets is required. Experience with machine learning / data mining is preferred. Previous experience in cancer genomics would be an advantage but is not mandatory.
-- The successful candidate will be self-motivated, eager to acquire new knowledge and skills on a regular basis, and must demonstrate independent and critical thinking skills.
-- Must be able to analyze and interpret results, communicate results with an inter-disciplinary team, and have scientific writing experience (i.e., solid track record of scientific publications).
Benefits
This opportunity is eligible for full-time benefits. Please visit our website at http://hr.wustl.edu to view a summary of benefits.