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Genomic Analyst Jobs in Arizona (NOW HIRING)

The University of Arizona

req26812

Tucson, AZ · On-site

Data Analysis: * Performs genetic and genomic analysis using a variety of software packages and custom scripting. * Carries out genome wide association studies using human and nonhuman primate data ...

Caris Life Sciences

Manager - Bioinformatics

Tempe, AZ · On-site

Support end-to-end genomic data analysis, including quality control, alignment, variant calling, annotation, filtering, interpretation support, and reporting workflows. * Lead analytical development ...

Caris MPI, Inc.

Manager - Bioinformatics

Phoenix, AZ · On-site

$150 - $210/hr

Support end-to-end genomic data analysis, including quality control, alignment, variant calling, annotation, filtering, interpretation support, and reporting workflows.Lead analytical development and ...

CommonSpirit Health

Research Scientist I

Phoenix, AZ

Plans and executes bioinformatics analysis on high-throughput genomics (including single cell) and proteomics data, integration and analysis of multi-omics data * Participates in the development and ...

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Genomic Analyst information

What is a genomic analyst?

A Genomic Analyst is a professional who specializes in analyzing and interpreting genomic data to understand genetic variations and their impact on health, disease, or traits. They use advanced bioinformatics tools and techniques to process DNA, RNA, and other molecular data, often working in research, clinical, or pharmaceutical settings. Genomic Analysts collaborate with scientists, clinicians, and other healthcare professionals to provide insights that can inform patient care, drug development, or further research. Their work is essential for advancing personalized medicine and understanding the genetic basis of diseases.

What are the key skills and qualifications needed to thrive as a genomic analyst, and why are they important?

To thrive as a Genomic Analyst, you need a solid background in genetics, bioinformatics, and data analysis, often supported by a degree in biology, genomics, or a related field. Familiarity with next-generation sequencing (NGS) platforms, genomic databases, and tools like Python, R, and specialized software such as GATK or IGV is essential. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for interpreting data and collaborating with interdisciplinary teams. These abilities are vital for ensuring accurate genomic data interpretation, driving research, and supporting clinical decision-making.

What are some common challenges genomic analysts face when interpreting large-scale sequencing data?

Genomic Analysts often encounter challenges related to managing and interpreting massive datasets generated by next-generation sequencing technologies. Ensuring data quality, distinguishing meaningful genetic variants from background noise, and integrating information from multiple data sources require strong analytical and computational skills. Collaborating closely with bioinformaticians, laboratory scientists, and clinicians is essential to validate findings and translate them into actionable insights. Staying current with evolving tools and best practices is also key to overcoming these challenges.

What is the difference between Genomic Analyst vs Bioinformatics Technician?

AspectGenomic AnalystBioinformatics Technician
Required CredentialsBachelor's or Master's in Genetics, Biology, or related field; experience with genomic data analysisAssociate's or Bachelor's in Bioinformatics, Computer Science, or related field; basic data analysis skills
Work EnvironmentLaboratories, research institutions, biotech companiesComputing labs, research facilities, biotech firms
Employer & Industry UsageResearch labs, healthcare, biotech industryResearch institutions, biotech companies, hospitals
Common Search & Comparison IntentUnderstanding roles in genomic data analysisEntry-level bioinformatics roles in genomics

The Genomic Analyst typically has advanced education and handles complex data interpretation, while the Bioinformatics Technician often supports data processing and basic analysis. Both roles are vital in genomics research but differ in responsibilities and experience requirements.

Does genomics pay well?

Genomic analysts typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions may start around $50,000 annually, while experienced professionals with advanced skills and certifications can earn over $100,000 per year. The field offers strong growth potential due to increasing demand for genomic research and personalized medicine.

How much does a genomic analyst make?

The average salary for a genomic analyst in the United States ranges from $60,000 to $90,000 per year, depending on experience, education, and location. Entry-level positions typically start around $50,000, while experienced analysts with specialized skills can earn over $100,000 annually.

What are popular job titles related to Genomic Analyst jobs in Arizona?

For Genomic Analyst jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Genomic Analyst jobs in Arizona look for?

The top searched job categories for Genomic Analyst jobs in Arizona are:

Genomic Analyst jobs near you
Infographic showing various Genomic Analyst job openings in Arizona as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 83% In-person, and 17% Remote job distribution.

req26812

The University of Arizona

Tucson, AZ • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

University Of Arizona rating

7.3

Company rating: 7.3 out of 10

Based on 68 frontline employees who took The Breakroom Quiz

363rd of 622 rated colleges and universities

Job description

Data Analysis:

  • Performs genetic and genomic analysis using a variety of software packages and custom scripting.
  • Carries out genome wide association studies using human and nonhuman primate data, including protein and gene expression quantitative trait loci analyses.
  • Compares experimental data with human studies across genetic and genomic variables.
  • Maintains working knowledge of genomic analysis software including Plink and WGCNA.

Communication and publication:

  • Leads writing of papers from genetic and genomic analysis and presents findings in internal and external meetings.
  • Organizes projects into manuscripts and data packages for broad dissemination of findings.
  • Works with data curation partners to organize and distribute data.

Advises and assists colleagues and collaborators:

  • Determines the appropriate statistical methodology to meet their genetic analysis objectives; uses various statistical and mathematical software packages to summarize and interpret statistical results.
  • Designs, implements, and coordinates study activities and process improvements.

Knowledge, Skills, and Abilities:

  • Deep knowledge of human genetics and genome-wide association analysis.
  • Skill in use of genetic analysis software.
  • Knowledge of experimental systems including mice, cell models, and non-human primates

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