Postdoctoral Research Scholar in Bioinformatics and Computational Biology
Arizona State University
Arizona State University: Knowledge Enterprise: Biodesign Institute: Biodesign Center for Biocomputing, Security and Society
Location
Open Date
Sep 12, 2025
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.