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Postdoctoral Research Scholar in Bioinformatics and Computational Biology

Arizona State University

Tempe CampusFull Time

Arizona State University

Posted 2026-09-06

About the role

Description 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   Qualifications 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. Application Instructions Only electronic submissions will be reviewed. Incomplete applications will not be considered. To apply for this position, submit the following required application materials:  Cover letter  A complete curriculum vitae  The names and contact information of three references (name, position, title, organization, email, and phone number).  Optional (I.e. statement of research, two or more peer-reviewed publications)  The initial application deadline is September 25, 2025. Applications will continue to be accepted on a rolling basis for a reserve pool. Applications in the reserve pool may then be reviewed in the order in which they were received until the position is filled.  Equal Employment Opportunity Statement A background check is required for employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other basis protected by law. See   and .   In compliance with federal law, ASU prepares an annual report on campus security and fire safety programs and resources.  ASU’s Annual Security and Fire Safety Report is available online at   You may request a hard copy of the report by contacting the ASU Police Department at 480-965-3456.

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