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Genomic Data Analyst Jobs in Arizona (NOW HIRING)

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

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

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 ...

Data Analysis and Machine Learning Pipeline Development: * Under moderate guidance collaborate in ... Integrate multi-omics data (genomics, transcriptomics, proteomics) with clinical outcomes data to ...

Senior Software Engineer

Tucson, AZ · On-site

$117.88 - $153.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Experience with bioinformatic (genomic) data analysis and related analysis topics. FLSA Exempt FLSA Exempt Full Time/Part Time Full Time Full Time/Part Time Full Time Number of Hours Worked per Week ...

... software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by ... Research & Genomics Analyst communicates regularly with Engagement Managers (Directors), project ...

Scientific Analyst II

Tucson, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

The analyst will work with large-scale biomedical datasets, including UK Biobank, All of Us ... Integrate multi-omics data (genomics, transcriptomics, proteomics) with clinical outcomes data to ...

Genetics Tutor

Tempe, AZ · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

Genetics Tutor

Scottsdale, AZ · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

Genetics Tutor

Mesa, AZ · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

Genetics Tutor

Tucson, AZ · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

Genetics Tutor

Phoenix, AZ · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

Genetics Tutor

Chandler, AZ · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

Genetics Tutor

Gilbert, AZ · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

Genetics Tutor

Glendale, AZ · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

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Genomic Data Analyst information

See Arizona salary details

$31.7K

$77K

$126.7K

How much do genomic data analyst jobs pay per year?

As of Aug 13, 2026, the average yearly pay for genomic data analyst in Arizona is $77,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a genomic data analyst?

To thrive as a Genomic Data Analyst, you need strong skills in bioinformatics, statistical analysis, and a background in genetics or a related field, usually supported by a degree in biology, data science, or computational science. Familiarity with tools like R, Python, UNIX/Linux systems, and genomic databases, as well as experience with next-generation sequencing (NGS) data analysis pipelines, are highly valuable. Excellent problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data accurately and explain findings to interdisciplinary teams. These skills are crucial for translating complex genomic datasets into actionable insights that inform research and clinical decisions.

What are the typical daily responsibilities of a genomic data analyst?

As a Genomic Data Analyst, your typical day involves processing and analyzing large-scale genomic datasets using specialized software and scripting languages to identify genetic variations or patterns. You might collaborate with laboratory scientists, clinicians, and other data professionals to design studies, interpret results, and ensure data accuracy. Tasks often include creating data visualizations, generating detailed reports, and troubleshooting technical issues in bioinformatics pipelines. This role requires a balance of independent data analysis work and teamwork to drive research or clinical projects forward.

How much do genomic data analysts make?

Genomic data analysts typically earn a median annual salary of around $70,000 to $90,000, depending on experience, education, and location. Entry-level positions may start lower, while experienced analysts with advanced skills in bioinformatics and programming can earn over $100,000 annually.

What is a genomic data analyst?

A Genomic Data Analyst interprets and analyzes large-scale genomic data to derive meaningful biological insights. They work with datasets from DNA sequencing, gene expression studies, and other genomic technologies to identify patterns, mutations, or associations related to health and disease. Using bioinformatics tools, programming languages like Python or R, and statistical techniques, they help researchers, healthcare professionals, and biopharmaceutical companies make data-driven decisions. Their role is essential in fields such as precision medicine, drug discovery, and genetic research.

What are the most commonly searched types of Genomic Data Analyst jobs in Arizona? The most popular types of Genomic Data Analyst jobs in Arizona are:
What are popular job titles related to Genomic Data Analyst jobs in Arizona? For Genomic Data Analyst jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Genomic Data Analyst jobs in Arizona look for? The top searched job categories for Genomic Data Analyst jobs in Arizona are:
What cities in Arizona are hiring for Genomic Data Analyst jobs? Cities in Arizona with the most Genomic Data Analyst job openings:
Infographic showing various Genomic Data Analyst job openings in Arizona as of August 2026, with employment types broken down into 70% Full Time, 20% Part Time, and 10% Temporary. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $77,011 per year, or $37 per hour.

Manager - Bioinformatics

Caris Life Sciences

Tempe, AZ • On-site

Full-time

Posted 23 days ago


Job description

At Caris, we understand that cancer is an ugly word-a word no one wants to hear, but one that connects us all. That's why we're not just transforming cancer care-we're changing lives.
We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if this patient were my mom?" That question drives everything we do.
But our mission doesn't stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcare-driven by innovation, compassion, and purpose.
Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins.
Position Summary
The Manager, Bioinformatics leads a team of bioinformatics scientists responsible for the development, validation, implementation, and support of next-generation sequencing (NGS) bioinformatics pipelines and analytical workflows within a clinical or translational genomics environment. This role combines technical expertise, project leadership, and people management to ensure delivery of reliable, scalable, and compliant bioinformatics solutions supporting research, assay development, validation activities, and clinical operations. The Manager partners closely with laboratory, clinical, software engineering, IT, quality, and scientific stakeholders to advance genomic testing capabilities and operational excellence.
Job Responsibilities
  • Lead, coach, mentor, and develop a team of bioinformatics scientists, including hiring support, onboarding, performance management, career development, and workload prioritization.
  • Manage day-to-day bioinformatics operations and ensure timely delivery of high-quality analytical solutions across development, validation, and production activities.
  • Establish project plans, priorities, timelines, and resource allocations for team initiatives and cross-functional programs.
  • Oversee development, optimization, validation, and maintenance of NGS bioinformatics pipelines and workflows.
  • Support end-to-end genomic data analysis, including quality control, alignment, variant calling, annotation, filtering, interpretation support, and reporting workflows.
  • Lead analytical development and validation activities for NGS assays, including performance assessment, reproducibility studies, concordance analysis, quality metrics, and documentation.
  • Drive implementation of scalable, automated, and reproducible computational workflows using software development and bioinformatics best practices.
  • Collaborate with software engineering and IT teams to support cloud-based infrastructure, workflow execution, data storage, monitoring, and system performance.
  • Ensure bioinformatics processes comply with applicable quality, regulatory, documentation, privacy, and security requirements.
  • Partner with laboratory scientists, molecular pathologists, clinical teams, statisticians, and researchers to translate scientific and clinical requirements into analytical solutions.
  • Monitor project progress, identify risks and dependencies, communicate status updates, and facilitate resolution of technical and operational challenges.
  • Investigate and resolve complex pipeline, assay, and data quality issues while supporting production operations as needed.
  • Serve as a technical subject matter expert for bioinformatics workflows, genomic analyses, and assay validation efforts.
  • Stay current on emerging technologies, tools, methodologies, and industry best practices in genomics and bioinformatics.

Required Qualifications
  • PhD degree with experience in Bioinformatics, Computational Biology, Biostatistics, Computer Science, Genomics, Molecular Biology, or a related field.
  • Minimum of 5 to 8 years of hands-on bioinformatics experience supporting NGS pipeline development, validation, or production operations.
  • Minimum of 2 to 4 years of people leadership experience.
  • Demonstrated experience managing projects and coordinating cross-functional stakeholders.
  • Strong knowledge of NGS data analysis methods, quality metrics, bioinformatics workflows, and genomic data interpretation.
  • Strong programming and scripting skills using Python, Bash, SQL, R, or equivalent tools.
  • Experience with AWS or other cloud computing platforms supporting genomic data processing and storage.
  • Strong communication, collaboration, organizational, and problem-solving skills.
  • Proficiency in Microsoft Office Suite.

Preferred Qualifications
  • Experience supporting both research and clinical bioinformatics environments.
  • Experience with liquid biopsy, MRD, cancer early detection, ctDNA analysis, or related applications.
  • Experience with multi-omic data integration and advanced genomic analyses.
  • Experience working in CLIA, CAP, NYSDOH, FDA, ISO, or comparable regulated environments.
  • Experience preparing validation reports, technical documentation, regulatory support materials, or scientific publications.

Physical Demands
  • Must be able to sit, stand, and work at a computer for extended periods.

Training
  • All required training will be assigned based on job responsibilities.

Other
  • May require occasional travel, after-hours support, and participation in on-call activities.

Conditions of Employment: Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check ( applicable for certain positions) and reference verification.
This job description reflects management's assignment of essential functions. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.
Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.