Senior Research Analyst
Core
Analyze and integrate large-scale multi-omic datasets (single-cell, bulk, immune phenotyping) to identify drivers of biological aging and variation across tissues and life courses.
Role type
Senior Research Analyst (Computational Biology/Bioinformatics)
Builds
Multidomain biological-age, ageotype, aging-type, mortality-prediction, and reproductive-senescence models.
Domain
Life Sciences / Bioinformatics / Aging Research
Deliverable
production ML models
Required skills
Statistical modeling, High-dimensional data analysis, Cell-type annotation and deconvolution, Data integration, Reproducible computational workflows, Scientific programming
Preferred skills
Genomics, Computational biology, Bioinformatics, Evolutionary biology, Neuroscience, Geroscience, Systems biology
Technologies
R, Python, DNA methylation analysis, RNA-seq, ATAC-seq, CUT&Tag, snRNA-seq, Metabolomics, Proteomics
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; Link molecular phenotypes to social, physiological, skeletal, pathology, imaging, reproductive, and survival data; Contribute to a collaborative, transparent, and reproducible team-science environment spanning ASU and partner institutions.
Seniority
Senior, hands-on IC
