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Bioinformatics Phd Jobs in Arizona (NOW HIRING)

micro1 AI

AI Training Specialist - Life Sciences

Mesa, AZ · Remote

$90 - $120/hr

Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline. * In-depth knowledge of medicinal chemistry concepts, including structure ...

micro1 AI

AI Training Specialist - Life Sciences

Yuma, AZ · Remote

$90 - $120/hr

Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline. * In-depth knowledge of medicinal chemistry concepts, including structure ...

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All JobsBioinformatics Phd JobsBioinformatics Phd Jobs in Arizona

Bioinformatics Phd information

See Arizona salary details

$55.4K

$88K

$139.3K

How much do bioinformatics phd jobs pay per year?

As of Aug 9, 2026, the average yearly pay for bioinformatics phd in Arizona is $88,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,900.00 and $120,700.00 per year, depending on experience, location, and employer.

What does a bioinformatics PhD do?

In a Bioinformatics PhD role, you may be tasked with designing and implementing computational analyses to interpret large-scale genomic or proteomic data, developing new algorithms or pipelines, and contributing to manuscripts or research publications. Collaboration with experimental biologists, clinicians, and fellow data scientists is common, requiring you to translate complex biological questions into computational approaches and communicate results effectively. On a daily basis, you might analyze sequencing data, troubleshoot code, manage data workflows, and help mentor junior researchers or students. These responsibilities offer dynamic opportunities to make a significant impact in advancing biological research and medical innovation.

What skills and qualifications are needed for a bioinformatics PhD?

A successful Bioinformatics PhD possesses advanced knowledge in computational biology, statistics, genomics, and a doctoral degree in bioinformatics or a closely related field. Familiarity with programming languages such as Python or R, experience with bioinformatics databases, and use of tools like BLAST, Galaxy, or Bioconductor are commonly expected. Strong analytical thinking, effective communication, and collaborative skills are highly valued in this field. These skills enable bioinformatics professionals to analyze complex biological data, work efficiently within multidisciplinary teams, and drive meaningful scientific discoveries.

What is a bioinformatics PhD?

A Bioinformatics PhD job involves conducting research and developing computational tools to analyze biological data, such as genomics, proteomics, and clinical datasets. Professionals in this role work at the intersection of biology, computer science, and mathematics to derive meaningful insights from complex biological information. They may work in academia, pharmaceutical companies, biotechnology firms, or healthcare institutions, contributing to advancements in medicine, drug discovery, and personalized healthcare. Essential skills include programming, statistical analysis, machine learning, and a deep understanding of molecular biology.

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Bioinformatics Phd jobs near you
Infographic showing various Bioinformatics Phd job openings in Arizona as of August 2026, with employment types broken down into 86% Full Time, 7% Part Time, and 7% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $88,039 per year, or $42.3 per hour.

Manager - Bioinformatics

Caris Life Sciences

Tempe, AZ • On-site

Full-time

Posted 19 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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