Postdoctoral Research Scholar in Bioinformatics and Computational Biology

The Arizona Cancer Evolution (ACE) Center at Arizona State University is recruiting a postdoctoral fellow in bioinformatics/computational biology/systems biology. Ideal candidates would have expertise in developing packages to analyze genomic DNA, RNA, methylation, and immune receptor (TCR/BCR) data, particularly from cancer samples, as well as expertise in evolution. Research experiences in machine/deep learning is a plus. The postdoc will have access to all of the ACE data, the Human Tumor Atlas Network data, and new data from the ~1,000 participants in the ARPH-H ADAPT clinical trial. The postdoc will be co-mentored by Drs. Carlo Maley and Heewook Lee, and will be supported in developing their own independent research program. Funding is available for 3 years with the potential for renewal.

Essential Duties

• Analysis of genomic data (DNA, RNA and methylation) from cancers and other tissues.
• Setting up bioinformatics pipelines to measure evolutionary and ecological parameters of tumor samples
• Developing algorithms and pipelines to calculate HLA type and measures of T-cell receptor repertoire
• Running those pipelines on -omic data (DNA, RNA and methylation) generated from tumor samples.
• Analysis of the resulting measures from the clinical samples
• Preparation of progress reports and scientific manuscripts
• Presentation of scientific results
  
  

Minimum Qualifications

• Applicants must have a recent Ph.D. (within the past five years) in Bioinformatics, Computational Biology, Systems Biology or related fields.
  
  

Desired Qualifications

• Experience with developing bioninformatics software to analyze DNA, RNA and methylation data, as well as T-cell receptors and HLA typing.
• Expertise in bioinformatics, biostatistics or computational biology, particularly in genomic analysis of cancers, as well as evolutionary analyses.
• Expertise in machine/deep learning would be a plus.