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Phd Computer Science Jobs in Arizona (NOW HIRING)

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be ...

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be ...

Judge Group, Inc.

NDE Engineer

Arizona City, AZ

$72.50K - $93.60K/yr

... computer science, mathematics, physics or chemistry (e.g. Bachelor) and typically 5 or more years' related work experience (e.g. PhD, Master+3 years' related work experience). In the USA, ABET ...

ASM

Senior Engineer I, Software Engineering

Phoenix, AZ

$121.60K - $160.40K/yr

Bachelor's degree in Computer Science (or related field) with 7+ years of industry experience, or Master's degree with 4+ years, or PhD with 3+ years of relevant experience * Strong software ...

ASM

Snr Engineer, Software

Phoenix, AZ · On-site

$121.60K - $160.40K/yr

Bachelor's degree in Computer Science (or related field) with 10+ years of industry experience, or Master's degree with 4+ years, or PhD with 3+ years of relevant experience * Strong software ...

Henpen Corporation

Sr Software Developer -

Tucson, AZ · On-site

$160K - $260K/yr

Bachelor's in Computer Science/Engineering (MS/PhD preferred) * Active TS/SCI Clearance * U.S. Citizenship Preferred (Stand-Out Candidates) * Cloud + DevOps: AWS, Docker, Kubernetes, CI/CD

Intel

Neuromorphic/AI Research Scientist

Phoenix, AZ

Minimum Qualifications: - PhD (or equivalent research experience) in Computational Neuroscience, Computer Science, Electrical Engineering, Applied Mathematics, Robotics, or a related field. - 1+ ...

New

Rincon Research Corp

Software Engineer

Tucson, AZ · On-site

$85K - $152K/yr

Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science * Proficient in modern software engineering practices for testability and readability * Proficient in C++ and Python ...

Waabi

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

Bonus/nice to have: - Master/PhD in machine learning, computer science, engineering, or a related field. - Experience in shipping machine learning features/models into production. - Strong grasp of ...

Waabi

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

Bonus/nice to have: - Master/PhD in machine learning, computer science, engineering, or a related field. - Experience in shipping machine learning features/models into production. - Strong grasp of ...

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How much do phd computer science jobs pay per year?

As of May 30, 2026, the average yearly pay for phd computer science in Arizona is $77,448.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $87,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a PhD in Computer Science, and why are they important?

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

What are some common challenges faced by PhD Computer Science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

What is a PhD in Computer Science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

Is IT worth doing a PhD in CS?

A PhD in Computer Science can be valuable for careers in research, academia, or specialized industry roles requiring advanced expertise. It typically involves several years of study, research, and publication, and can lead to higher-level positions but may not be necessary for most industry jobs that value practical skills and experience. Consider your career goals and whether the research focus aligns with your interests before pursuing a PhD.
What are popular job titles related to Phd Computer Science jobs in Arizona? For Phd Computer Science jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Phd Computer Science jobs in Arizona look for? The top searched job categories for Phd Computer Science jobs in Arizona are:
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Phd Computer Science jobs near you
Infographic showing various Phd Computer Science job openings in Arizona as of May 2026, with employment types broken down into 3% As Needed, 46% Full Time, 33% Part Time, 15% Contract, and 3% Nights. Highlights an 31% Physical, 12% Hybrid, and 57% Remote job distribution, with an average salary of $77,448 per year, or $37.2 per hour.

Application Scientist - Digital Pathology

Caris Life Sciences

Phoenix, AZ • On-site

Full-time

Posted 6 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
We are seeking an Application Scientist to serve as the technical bridge between product, engineering, data science, laboratory operations, and clinical stakeholders in digital pathology. You will own the end to end technical readiness of whole slide image based solutions-from image calibration and image lifecycle management to clinical grade algorithm deployment. This role emphasizes imaging science, data analytics, and validation over pure software engineering, ensuring our solutions meet clinical quality, performance, and regulatory expectations. The ideal candidate combines hands on lab/WSI experience with strong systems thinking, excellent stakeholder communication, and a bias toward operational reliability and regulatory compliance.
Job Responsibilities
Image Management Systems (IMS) & Data Operations
  • Administer and optimize IMS workflows (user provisioning, access control, retention, tiered storage, audit trails).
  • Investigate incidents and lead corrective actions to improve stability and user experience.
  • Define and enforce metadata and ontology standards (specimen, stain, region annotations, versioning) and file format policies (SVS, SCN, NDPI, TIFF/OME TIFF).
  • Collaborate with cloud team to implement data monitoring and data governance (PII/PHI safeguards, de identification, consent tracking)
  • Build operational runbooks for ingestion, migration, archival, and disaster recovery.

Image Calibration & Quality Assurance
  • Design, execute, and document calibration protocols for brightfield/fluorescence WSI scanners (e.g., color calibration, focus metrics, illumination uniformity, ICC profiles).
  • Implement/validate color management pipelines to reduce site to site variability.
  • Build and maintain image QA dashboards (PSNR, SSIM, CIEDE2000, artifact scoring, blur detection, tissue coverage).
  • Collaborate with scanning operations and vendors to troubleshoot imaging issues (scanner drift, compression artifacts, barcode/label problems) and drive root cause analysis.

Algorithm Deployment & MLOps
  • Productionize and maintain AI/ML pathology algorithms (detection, grading, quantification, triage) with attention to performance, reproducibility, scaling and monitoring.
  • Package models with Docker and orchestrate via AWS; implement CI/CD for model and pipeline updates.
  • Collaborate with data science and external collaborators to translate research models into deployable services, including GPU resource planning and batch/stream inference.
  • Establish real time/near real time inference pathways, results persistence, and human in the loop review tools.
  • Define and track validation metrics (accuracy, sensitivity/specificity, AUC, turnaround time, uptime).

Compliance, Risk & Change Management
  • Author and maintain SOPs, validation plans, and technical files; support CAP/CLIA readiness for regulated use.
  • Maintain software quality by performing UAT, bug tracking and reporting.
  • Perform risk assessments (cybersecurity, model drift, data integrity) and drive corrective/preventive actions (CAPA) in collaboration with Quality teams
  • Conduct training and change management for pathologists, lab personnel, and IT.

Cross Functional Enablement & Support
  • Serve as subject matter expert for proof of concepts and end-user onboarding for digital pathology solutions.
  • Translate clinical/operational needs into requirements for product and engineering; manage pilots and rollouts with clear success criteria.
  • Provide tier 2/3 support for imaging and algorithmic workflows and create knowledge base content.
  • Responsible for technical integrity of project deliverables, including quality and compliance to applicable standards.
  • Fosters a data-driven, evidence-based mindset and reporting format across the digital pathology team.
  • Provides technical direction and accountability for our expanding digital pathology portfolio by driving leading-edge thinking and state-of-the-art technology into processes and products.
  • Other duties as assigned by the leadership.

Required Qualifications
  • PhD in Biomedical Engineering, Computer Science, Medical Physics, or related field; or equivalent experience.
  • 5+ years in digital pathology or medical imaging (WSI scanners, histology workflows, image QC).
  • Demonstrable experience with image calibration and color management (ICC, white balance, shading correction) and stain normalization.
  • Hands on with IMS and DICOM/HL7/FHIR integrations; familiarity with LIS/LIMS.
  • Proven track record of algorithm deployment (Docker/Kubernetes, CI/CD, GPU acceleration) and MLOps (model packaging, monitoring, rollback).
  • Proficiency in Python (NumPy, OpenCV, scikit image, PyTorch/TensorFlow), image formats (SVS, NDPI, DICOM, OME TIFF), and annotation tools (QuPath, SlideViewer, PathML).
  • Experience with UI/UX feedback in viewer tools (annotation, ROI selection, overlay management) and pathologist workflow optimization.
  • Strong documentation skills and experience writing SOPs/validation reports for regulated environments.
  • Excellent communication and stakeholder management; able to interface with pathologists, lab staff, IT/security, and data scientists.

Preferred Qualifications
  • Experience with cloud (Azure/AWS/GCP) and object storage (S3/Blob).
  • Knowledge of workflow orchestration (Airflow, Argo, Prefect) and observability (Prometheus, Grafana).
  • Familiarity with CAP/CLIA inspections, GxP, IEC 62304, ISO 13485, and ISO 27001.
  • Exposure to fluorescence, multiplex IHC/IF, spatial biology, and high content imaging.
  • Scripting for automation (Bash/PowerShell), and basic SQL for metadata/registry tasks.

Physical Demands
  • Must possess ability to sit, stand, and/or work at a computer for long periods of time.
  • May have exposure to blood-borne pathogens, extreme temperatures, high noise levels, fumes and bio-hazardous material/chemicals including formalin in the lab environment.
  • Visual acuity and analytical skill to distinguish fine detail. Ability to pass a visual color discrimination test.

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

Other
  • This position requires periodic travel and some evenings, weekends and/or holidays.
  • Job may require after-hours response to emergency issues.
  • Periodically scheduled on-call may require after-hours response for technical emergencies not explicitly related to assigned job responsibilities.
  • At times may be required to work weekends/holidays.

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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