Senior Research Analyst

Job Profile

Research Administration Specialist 2

Research Administration

Full time

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.

Responsible for collaborating with faculty and researchers in managing routine aspects of proposal development, development of financial resources and programs, and ensuring compliance with university policies.

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.

Position Salary Range: $65,000 - $80,000 per year; DOE

• 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.

• 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.
• 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.
• Interest in aging biology, functional genomics, quantitative biology, or large-scale integrative data analysis.

Activities are performed in an environmentally controlled office setting, subject to extended periods of sitting, keyboarding, and manipulating a computer mouse; required to stand for varying lengths of time and walk moderate distances to perform work. Frequent bending, reaching, lifting, pushing, and pulling up to 25 pounds. Ability to clearly communicate to perform essential functions. Regular use of standard office equipment.

The School of Life Sciences (SOLS) has provided a vital hub for creative excellence at Arizona State University, with 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 whales. 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.

Driving is not required for this position.

Campus:
Tempe

No Federal Funding

Arizona…