Senior Research Analyst

Arizona State University•Tempe, AZ

12d•Onsite

About The Position

The Senior Research Analyst will work as part of an interdisciplinary, multi-institutional U19 team to analyze and integrate large-scale datasets that include single-cell and bulk multi-omic data, immune phenotyping, social-network phenotypes, longitudinal physiological measures, survival, and reproductive outcomes. The core scientific goal is to identify molecular and environmental drivers of inter-individual and within-individual variation in biological aging across tissues, organ systems, and the life course.

Requirements

Bachelor's degree and three (3) years of experience appropriate to the area of assignment/field; OR, Any equivalent combination of experience and/or training from which comparable knowledge, skills and abilities have been achieved.
Experience analyzing high-dimensional biological data in R, Python, or another scientific programming language.
Familiarity with reproducible computational workflows and version control.
Strong written and oral communication skills.

Nice To Haves

Master’s Degree in genomics, computational biology, bioinformatics, statistics, evolutionary biology, neuroscience, geroscience, systems biology, computer science, or a related field by the start date.
Interest in aging biology, functional genomics, quantitative biology, or large-scale integrative data analysis.

Responsibilities

Analyze and integrate multi-tissue DNA methylation, RNA-seq, ATAC-seq, CUT&Tag, snRNA-seq, metabolomic, proteomic, immune, and genotype/variant datasets.
Develop and apply statistical models to quantify age-associated, tissue-specific, sex-specific, and cell-type-specific molecular variation.
Integrate single-nucleus RNA-seq reference profiles with bulk molecular data for cell-type annotation and deconvolution.
Link molecular phenotypes to social, physiological, skeletal, pathology, imaging, reproductive, and survival data.
Develop multidomain biological-age, ageotype, aging-type, mortality-prediction, or reproductive-senescence models.
Contribute to a collaborative, transparent, and reproducible team-science environment spanning ASU and partner institutions.