Arizona State University
Office of the University Provost: The College of Liberal Arts and Sciences: Division of Natural Sciences: School of Life Sciences
Location: Tempe Campus
Open Date: Sep 18, 2026
Description
The School of Life Sciences at Arizona State University invites applications for two postdoctoral scholars to join a newly funded NIH U19 cooperative agreement focused on understanding how and why individuals age differently. These full-time positions will work on multi-omic and longitudinal analyses of aging heterogeneity in the free-ranging Cayo Santiago rhesus macaque population. The successful candidate will analyze and integrate cross-sectional multi-tissue and longitudinal datasets spanning 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 position 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/or informatics infrastructure for reproducible multi-omic analyses.
The position will be embedded in a collaborative, multi-institutional NIH U19 team that integrates genomics, epigenomics, immunology, physiology, neuroscience, skeletal biology, behavioral biology, social-network analysis, biostatistics, and nonhuman-primate biology to understand aging heterogeneity across tissues, organ systems, and the life course.
Campus/Location: Tempe Campus
Salary Range: $65,000 - $75,000
About the School of Life Sciences
The School of Life Sciences is an interdisciplinary academic unit within The College of Liberal Arts and Sciences at Arizona State University. The school has provided a vital hub for creative excellence at Arizona State University, with a community of more than 670 faculty, graduate students, postdoctoral fellows and staff, and research that ranges from studies on biodiesel and biohydrogen to vaccine development and the conservation of desert tortoises. As ASU’s first academic unit to fully reflect President Michael Crow’s integrated, interdisciplinary vision for the New American University, the School of Life Sciences offers active and evolving platforms for collaborative, cutting-edge research and faculty whose discovery is freed from traditional institutional boundaries. To learn more about The School of Life Sciences, please visit https://sols.asu.edu/.
About The College of Liberal Arts and Sciences
The College of Liberal Arts and Sciences is the academic heart of Arizona State University, committed to improving communities on a local, national and global scale. We support the professional development and growth of our faculty and staff in their cutting-edge research to advance these aims. Within The College, our faculty engage with a large curious student body, guiding them as they grow into socially aware, critical thinkers and writers able to succeed in a wide range of careers and to address the challenges of the twenty-first century. Advancing the success of our students remains our top priority. To learn more about The College of Liberal Arts and Sciences, please visit https://thecollege.asu.edu.
About Arizona State University
ASU exemplifies a new prototype for the American public research university. As articulated in the ASU Charter, ASU is a comprehensive public research university, measured not by whom it excludes, but by whom it includes and how they succeed; advancing research and discovery of public value; and assuming fundamental responsibility for the economic, social, cultural and overall health of the communities it serves.
Qualifications
Essential Functions:
- Analyze and integrate multi-tissue and longitudinal multi-omic data in the context of demographic and environmental variables.
- Develop reproducible workflows for preprocessing, QC, normalization, harmonization, and statistical analysis of high-dimensional biological data.
- Develop tissue-specific, cell-type-informed, sex-stratified, longitudinal, ageotype, agingtype, and mortality models.
- Prepare manuscripts, preprints, conference presentations, documented code, and data products.
- Collaborate with U19 investigators, postdocs, students, research staff, and CayoHub informatics personnel.
Required Qualifications:
- PhD, MD/PhD, or equivalent doctoral degree in genomics, computational biology, bioinformatics, statistics, data science, computer science, systems biology, evolutionary biology, aging biology, neuroscience, or a related field by the time of appointment.
- Experience 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.
- Strong written and oral communication skills.
Desired Qualifications:
- Experience with RNA-seq, DNA methylation, ATAC-seq, CUT&Tag, ChIP-seq, snRNA-seq/scRNA-seq, whole-genome sequencing, metabolomics, or proteomics.
- Experience with functional genomics, regulatory genomics, single-cell analysis, multi-omic integration, epigenetic clocks, biological-age models, survival analysis, mixed models, or longitudinal modeling.
- Experience with eQTL, meQTL, mediation, Mendelian randomization, containerized computing, HPC workflows, or related computational approaches.
- Experience working with nonhuman primate data, human cohort data, long-term population data, or field-based biological datasets.
- Demonstrated commitment to working with faculty, staff, students, and communities to advance the principles of the ASU Charter.
Application Instructions
The application deadline is October 19, 2026. 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. Candidates will be asked to create or use an existing Interfolio Dossier to submit the following application materials:
- Cover letter describing relevant experience and research interests
- Curriculum vitae
- Contact information for three references
- One representative publication or preprint
- Optional links to GitHub, software, workflows, or other computational products
Contact: Noah Snyder-Mackler, Professor: nsmack@asu.edu
https://apply.interfolio.com/193955
Application Process
This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.
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 https://www.asu.edu/aad/manuals/acd/acd401.html and https://www.asu.edu/titleIX/.
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