The Arizona Cancer Evolution (ACE) Center at Arizona State University is recruiting a postdoctoral fellow in bioinformatics/computational biology/systems 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 1000 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.
- Analysisof 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.
The Arizona Cancer Evolution (ACE) Center at Arizona State University is recruiting a postdoctoral fellow in bioinformatics/computational biology/systems candidates would have expertise in developing packages to analyze genomic DNA RNA methylation and immune receptor (TCR/BCR) data particularly fro...
The Arizona Cancer Evolution (ACE) Center at Arizona State University is recruiting a postdoctoral fellow in bioinformatics/computational biology/systems 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 1000 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.
- Analysisof 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.
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