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Bioinformatics Software Engineer Jobs in Arizona

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 ...

micro1 AI

AI Training Specialist - Life Sciences

Mesa, AZ · Remote

$90 - $120/hr

Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ...

micro1 AI

AI Training Specialist - Life Sciences

Yuma, AZ · Remote

$90 - $120/hr

Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ...

micro1 AI

Digital Chemistry Specialist - Remote

Mesa, AZ · Remote

$90 - $120/hr

Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ...

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All JobsBioinformatics Software Engineer JobsBioinformatics Software Engineer Jobs in Arizona

Bioinformatics Software Engineer information

See Arizona salary details

$40.1K

$122.1K

$222.3K

How much do bioinformatics software engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for bioinformatics software engineer in Arizona is $122,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,500.00 and $146,300.00 per year, depending on experience, location, and employer.

What is a bioinformatics software engineer?

A Bioinformatics Software Engineer develops and maintains software tools, algorithms, and databases for analyzing biological data, such as genomic sequences and protein structures. They work at the intersection of computer science and biology, using programming languages like Python, Java, or R to process and interpret large-scale biological datasets. Their role is crucial in fields like genomics, drug discovery, and personalized medicine, where computational solutions help researchers derive meaningful insights from complex biological information.

What are the typical daily responsibilities of a bioinformatics software engineer?

As a Bioinformatics Software Engineer, your day-to-day responsibilities typically include designing, developing, and maintaining software tools or pipelines for analyzing biological data such as DNA, RNA, or protein sequences. You may collaborate closely with researchers and scientists to understand biological problems and translate them into computational solutions, reviewing and optimizing code for efficiency and scalability. Troubleshooting data processing issues, integrating new algorithms, and contributing to documentation are also common tasks. Additionally, you might participate in cross-functional meetings and keep up with emerging technologies and trends in the field.

What are the key skills and qualifications needed to thrive in the bioinformatics software engineer position, and why are they important?

To thrive as a Bioinformatics Software Engineer, you need a strong background in software development (especially with Python, R, or C++), algorithm design, and biological data analysis, usually supported by a degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools, databases (like NCBI or Ensembl), version control systems (such as Git), and experience with cloud computing or high-performance computing environments is highly valued. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively with biologists and data scientists set candidates apart. These competencies are crucial for efficiently developing reliable software solutions that support complex biological research and data-driven discoveries.

What are the most commonly searched types of Bioinformatics Software Engineer jobs in Arizona? The most popular types of Bioinformatics Software Engineer jobs in Arizona are:
What are popular job titles related to Bioinformatics Software Engineer jobs in Arizona? For Bioinformatics Software Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Software Engineer jobs in Arizona look for? The top searched job categories for Bioinformatics Software Engineer jobs in Arizona are:
What are popular job titles related to Bioinformatics Software Engineer jobs in AZ? For Bioinformatics Software Engineer jobs in AZ, the most frequently searched job titles are:
Bioinformatics Software Engineer jobs near you
Infographic showing various Bioinformatics Software Engineer job openings in Arizona as of July 2026, with employment types broken down into 14% Locum Tenens, 6% Internship, 3% As Needed, 60% Full Time, 7% Part Time, and 10% Nights. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $122,127 per year, or $58.7 per hour.

Manager - Bioinformatics

Caris Life Sciences

Tempe, AZ • On-site

Full-time

Posted 15 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.

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