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Full Time Computer Science Bioinformatics Jobs in Phoenix, AZ

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Full Time Computer Science Bioinformatics information

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$5

$43

How much do full time computer science bioinformatics jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for full time computer science bioinformatics in Phoenix, AZ is $42.49, according to ZipRecruiter salary data. Most workers in this role earn between $42.26 and $42.74 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Computer Science Bioinformatics professional, and why are they important?

To thrive as a Full Time Computer Science Bioinformatics professional, you need a solid background in computer science, biology, and statistics, usually supported by a degree in bioinformatics, computer science, or a related field. Proficiency in programming languages like Python, R, and experience with bioinformatics tools and databases such as BLAST, Bioconductor, and NCBI are typically required. Strong problem-solving abilities, analytical thinking, and effective communication skills help you collaborate with interdisciplinary teams and interpret complex biological data. These skills and qualities are vital for developing innovative computational solutions that advance biological research and healthcare applications.

What types of interdisciplinary collaboration are common in a Full Time Computer Science Bioinformatics role?

In a Full Time Computer Science Bioinformatics position, professionals frequently collaborate with biologists, statisticians, and clinicians to interpret complex biological data. You’ll often work on cross-functional teams, contributing your computational expertise to projects such as genomic analysis, drug discovery, or clinical data interpretation. Effective communication is key, as you'll need to translate technical findings for team members with diverse backgrounds. This collaborative environment not only enriches problem-solving but also broadens your professional network and skill set.

What is the difference between Full Time Computer Science Bioinformatics vs Full Time Data Scientist?

AspectFull Time Computer Science BioinformaticsFull Time Data Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fieldsBachelor's or Master's in Data Science, Statistics, Computer Science
Work EnvironmentResearch labs, healthcare, biotech companiesTech firms, finance, healthcare, consulting
Industry UsageBiotech, pharmaceuticals, academiaTechnology, finance, marketing
Common Search IntentBioinformatics roles, computational biology jobsData analysis, machine learning roles

Full Time Computer Science Bioinformatics focuses on applying computational techniques to biological data, often in healthcare or research settings. Full Time Data Scientist emphasizes analyzing large datasets across various industries. While both roles require programming skills and data analysis expertise, bioinformatics is specialized in biological applications, whereas data science covers broader sectors.

What are full time computer science bioinformatics jobs?

Full time computer science bioinformatics jobs involve using computational and analytical methods to solve biological and biomedical problems. Professionals in these roles develop and apply software tools, algorithms, and databases to analyze biological data, such as DNA sequences, protein structures, and gene expression profiles. These positions typically require strong programming skills, knowledge of biology, and expertise in data analysis. Full time roles may be found in academic research, biotechnology companies, pharmaceutical firms, and healthcare organizations.
Full Time Computer Science Bioinformatics jobs near you
Vice President - Early Detection Informatics

Vice President - Early Detection Informatics

Caris Life Sciences

Tempe, AZ • On-site

Full-time

Re-posted 25 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 Vice President, Early Detection Informatics provides senior leadership for Caris' early cancer detection data science and bioinformatics initiatives supporting blood-based, multi-analyte diagnostic technologies. This role oversees the production informatics environment, bioinformatics pipeline orchestration, maintenance, support, and advanced analytics while owning the strategy and execution for scalable, production-grade computational systems.
Partnering closely with Executive Leadership, Research & Development, Clinical Development, Laboratory Operations, Regulatory Affairs, and Commercial teams, this position ensures early detection informatics infrastructure is scientifically rigorous, scalable, reproducible, and aligned with long-term corporate, clinical, and regulatory strategy. The role sets vision, standards, and governance for transforming multi-omic data into clinically actionable early detection insights and differentiated diagnostic performance.
Job Responsibilities
  • Provide executive oversight for the design, implementation, reliability, and scalability of bioinformatics and data engineering pipelines integrating sequencing platforms, laboratory systems, and clinical data sources.
  • Oversee development, orchestration, and production deployment of bioinformatics workflows supporting early detection assays.
  • Establish and enforce canonical data models, metric definitions, dataset versioning, and change control across research, validation, and production environments.
  • Ensure data integrity, auditability, traceability, and compliance with GxP and regulatory expectations.
  • Define and implement cloud-based or hybrid compute strategies enabling high-throughput analysis, reproducible execution, and model retraining.
  • Own SLAs, uptime targets, monitoring frameworks, alerting, and assay turnaround time for production pipelines supporting clinical reporting.
  • Build, mentor, and lead a high-performing informatics and bioinformatics team.
  • Set departmental goals, OKRs, budgets, roadmaps, and operating cadence aligned to corporate and regulatory priorities.
  • Establish governance models, performance metrics, and stakeholder engagement frameworks.
  • Champion a culture of scientific rigor, accountability, transparency, data integrity, and continuous improvement.

Required Qualifications
  • PhD in Data Science, Bioinformatics, Biostatistics, Computer Science, Biomedical Engineering, or a related field.
  • 10 or more years of experience building and operating production-grade analytics or bioinformatics solutions in diagnostics, medical devices, pharmaceuticals, or high-throughput laboratory environments.
  • Expert-level proficiency in Python, SQL, and data engineering fundamentals including ETL/ELT, orchestration, APIs, and scalable workflows.
  • Extensive experience with bioinformatics pipelines and next-generation sequencing platforms, including Illumina technologies.
  • Demonstrated experience operating informatics systems in regulated environments with strong understanding of GxP, CLIA, CAP, and FDA quality systems.
  • Proven leadership experience managing and developing technical teams with accountability for large-scale, cross-functional project delivery.
  • Proficient in Microsoft Office Suite, including Word, Excel, Outlook, and PowerPoint.
  • This is an onsite role based at our Phoenix, AZ office and requires regular in-person presence.

Preferred Qualifications
  • Experience with DRAGEN workflows and advanced sequencing analytics.
  • Advanced experience with AWS platforms including SageMaker, S3, Athena; familiarity with AWS HealthOmics preferred.
  • Experience integrating data from LIMS, instruments, MES/LES, and environmental monitoring systems.
  • Working knowledge of ISO 13485, 21 CFR 820, MDSAP, and IVDR requirements as they relate to data and documentation.
  • Experience with enterprise dashboarding, data modeling, governance, performance optimization, and advanced analytics.

Physical Demands
  • Ability to sit or stand for extended periods of time.
  • Ability to work at a computer for prolonged durations to perform data analysis and review.

Training
  • All job-specific, safety, and compliance training are assigned based on the job functions associated with this employee.

Other
  • This position may require occasional after-hours work to meet deadlines and ensure timely delivery of patient data.
  • Limited travel may be required based on business needs.

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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