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Bioinformatic Engineer Jobs in Arizona (NOW HIRING)

Caris Life Sciences

Manager - Bioinformatics

Tempe, AZ · On-site

The Manager partners closely with laboratory, clinical, software engineering, IT, quality, and ... Manage day-to-day bioinformatics operations and ensure timely delivery of high-quality analytical ...

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Bioinformatic Engineer information

See Arizona salary details

$30.8K

$83.1K

$132.3K

How much do bioinformatic engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for bioinformatic engineer in Arizona is $83,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $101,600.00 per year, depending on experience, location, and employer.

What is the difference between Bioinformatic Engineer vs Bioinformatics Analyst?

AspectBioinformatic EngineerBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fieldsBachelor's or Master's in Bioinformatics, Biology, or related fields
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, healthcare, pharmaceutical companies
Employer & Industry UsageDevelops tools, pipelines, and software for biological data analysisAnalyzes biological data, interprets results, and reports findings

While both roles involve biological data, Bioinformatic Engineers focus on developing computational tools and pipelines, whereas Bioinformatics Analysts primarily interpret data and generate insights. Both positions require similar educational backgrounds and are vital in research and healthcare settings, but their core responsibilities differ in development versus analysis.

What does a bioinformatics engineer do?

A bioinformatics engineer develops and applies computational tools and algorithms to analyze biological data, such as genetic sequences and molecular structures. They often work with programming languages like Python or R, utilize databases, and collaborate with biologists to interpret data for research or medical purposes.

What are some common challenges faced by Bioinformatic Engineers when working with large-scale genomic data?

Bioinformatic Engineers often encounter challenges related to managing and processing vast amounts of genomic data, which can require significant computational resources and efficient data handling strategies. Ensuring data integrity, reproducibility of analyses, and effective collaboration with multidisciplinary teams of biologists, statisticians, and software developers are also key aspects of the role. Staying updated with the latest bioinformatics tools and pipelines is essential, as the field evolves rapidly. Overcoming these challenges requires strong problem-solving skills, attention to detail, and the ability to communicate complex findings to non-technical stakeholders.

Is AI going to replace bioinformatics?

AI is a tool that enhances bioinformatics by automating data analysis and pattern recognition, but it is unlikely to fully replace bioinformatic engineers. Professionals in this field will continue to develop, interpret, and validate computational models, requiring expertise in biology, programming, and data analysis. AI complements human skills rather than replacing them entirely in bioinformatics roles.

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

To thrive as a Bioinformatic Engineer, you need a strong background in computational biology, programming (such as Python or R), statistics, and a relevant degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools (like BLAST, GATK, or Bioconductor), data analysis platforms, and experience with databases such as SQL are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and collaborate with multidisciplinary teams. These skills are essential for accurately analyzing biological data, deriving meaningful insights, and facilitating research or clinical advancements.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Executive-level engineering roles or those with significant leadership responsibilities may also reach this compensation level.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Executive-level engineering roles or those in leadership positions may also reach this compensation level.

What are Bioinformatic Engineers?

Bioinformatic Engineers are professionals who develop and apply computational tools and techniques to analyze biological data, such as DNA sequences, protein structures, and genetic information. They combine expertise in computer science, biology, and mathematics to process large datasets generated by modern biological experiments. Their work supports research in areas like genomics, drug discovery, and personalized medicine by helping scientists make sense of complex biological data.
What are popular job titles related to Bioinformatic Engineer jobs in Arizona? For Bioinformatic Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Bioinformatic Engineer jobs in Arizona look for? The top searched job categories for Bioinformatic Engineer jobs in Arizona are:
Bioinformatic Engineer jobs near you

Manager - Bioinformatics

Caris Life Sciences

Tempe, AZ • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

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.

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