Arizona State University
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2 weeks ago
Postdoctoral Research Scholar in Multi-Omics, Aging Biology, and Computational Genomics Arizona State University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Two full-time postdoctoral scholar positions with salary range $65,000-$75,000, funded by a newly funded NIH U19 cooperative agreement. No tuition information mentioned.
Deadline
Oct 19, 2026
Country
United States
University
Arizona State University

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About this position
Arizona State University’s School of Life Sciences is recruiting two postdoctoral scholars for a newly funded NIH U19 cooperative agreement focused on aging biology, multi-omics, and computational genomics.
The positions are based at the Tempe Campus and will analyze multi-tissue, longitudinal datasets from the free-ranging Cayo Santiago rhesus macaque population. Research may include DNA methylation, RNA-seq, single-nucleus RNA-seq, ATAC-seq, CUT&Tag, metabolomics, proteomics, immune phenotyping, genotype data, behavioral observations, social adversity, endocrine and physiological measures, reproductive outcomes, and survival.
Depending on background and interests, the work may focus on tissue-specific aging, single-cell and chromatin-state integration, epigenomic and transcriptomic drivers of age-related decline, biological-age and mortality prediction, longitudinal aging trajectories, cross-species comparisons, and reproducible informatics infrastructure for multi-omic analyses.
Applicants should have a PhD, MD/PhD, or equivalent doctoral degree by the time of appointment in genomics, computational biology, bioinformatics, statistics, data science, computer science, systems biology, evolutionary biology, aging biology, neuroscience, or a related field. Strong R/Python skills, reproducible research practices, version control, and command-line analysis experience are required.
Preferred experience includes RNA-seq, DNA methylation, ATAC-seq, CUT&Tag, ChIP-seq, sc/snRNA-seq, whole-genome sequencing, metabolomics, proteomics, functional/regulatory genomics, multi-omic integration, epigenetic clocks, survival analysis, mixed models, longitudinal modeling, eQTL/meQTL, mediation, Mendelian randomization, containerized computing, and HPC workflows.
The salary range is $65,000–$75,000. Applications are reviewed on a rolling basis after the October 19, 2026 deadline, with a reserve pool considered until the position is filled.
To apply, submit a cover letter, CV, three references, and one representative publication or preprint through Interfolio. Optional links to GitHub, software, workflows, or other computational products may also be included.
Funding details
Two full-time postdoctoral scholar positions with salary range $65,000-$75,000, funded by a newly funded NIH U19 cooperative agreement. No tuition information mentioned.
What's required
Applicants must hold a PhD, MD/PhD, or equivalent doctoral degree by the time of appointment in genomics, computational biology, bioinformatics, statistics, data science, computer science, systems biology, evolutionary biology, aging biology, neuroscience, or a related field. Required experience includes analyzing high-dimensional biological data using R, Python, or a comparable scientific programming language, familiarity with reproducible research, version control, and command-line analysis environments, and strong written and oral communication skills. Preferred experience includes RNA-seq, DNA methylation, ATAC-seq, CUT&Tag, ChIP-seq, snRNA-seq/scRNA-seq, whole-genome sequencing, metabolomics, proteomics, functional genomics, regulatory genomics, multi-omic integration, epigenetic clocks, biological-age models, survival analysis, mixed models, longitudinal modeling, eQTL/meQTL, mediation, Mendelian randomization, containerized computing, HPC workflows, and work with nonhuman primate, human cohort, or long-term population datasets.
How to apply
Prepare a cover letter, CV, contact information for three references, and one representative publication or preprint. Submit the materials through the Interfolio application portal. Optional GitHub/software/workflow links may also be included.
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