ZipRecruiter

Log In

1

Imaging Data Scientist Jobs in Arizona (NOW HIRING)

Prosum Inc.

AI Data Scientist

Phoenix, AZ · On-site

Our client is seeking an AI Data Scientist for a direct hire opportunity in North Phoenix, AZ or ... Improve alignment accuracy and robustness under varying imaging conditions. Advanced Data Analytics

Mayo Clinic

Specialist-Diag Rad Physics

Phoenix, AZ · On-site

$78K - $117K/yr

The role requires the ability to organize and execute imaging data acquisition and image-processing projects with attention to detail and scientific rigor. Excellent interpersonal, organizational ...

Mayo Clinic

Specialist-Diag Rad Physics

Phoenix, AZ · On-site

The role requires the ability to organize and execute imaging data acquisition and image-processing projects with attention to detail and scientific rigor. Excellent interpersonal, organizational ...

Mayo Clinic

Specialist-Diag Rad Physics

Phoenix, AZ · On-site

The role requires the ability to organize and execute imaging data acquisition and image-processing projects with attention to detail and scientific rigor. Excellent interpersonal, organizational ...

Mayo Clinic

Specialist-Diag Rad Physics

Phoenix, AZ

The role requires the ability to organize and execute imaging data acquisition and image-processing projects with attention to detail and scientific rigor. Excellent interpersonal, organizational ...

next page

Showing results 1-20

All JobsImaging Data Scientist JobsImaging Data Scientist Jobs in Arizona

Imaging Data Scientist information

See Arizona salary details

$34.9K

$114.4K

$183.1K

How much do imaging data scientist jobs pay per year?

As of Aug 28, 2026, the average yearly pay for imaging data scientist in Arizona is $114,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

What is an imaging data scientist?

An Imaging Data Scientist is a professional who specializes in analyzing and interpreting data from various imaging sources, such as medical scans, satellite images, or industrial photographs. They use advanced data analysis, machine learning, and image processing techniques to extract meaningful insights from complex image data. These scientists often collaborate with experts in fields like healthcare, remote sensing, or manufacturing to support decision-making and innovation. Their work can involve tasks such as developing algorithms for image classification, segmentation, or enhancement. The role requires strong skills in programming, statistics, and domain-specific knowledge.

How does an imaging data scientist typically collaborate with other teams in a research or clinical setting?

Imaging Data Scientists frequently work alongside radiologists, clinicians, and software engineers to develop and refine algorithms for analyzing medical images. Collaboration often involves regular meetings to interpret imaging data needs, share findings, and troubleshoot issues related to data quality or algorithm performance. They may also work closely with data engineers to ensure efficient data storage and retrieval, and with project managers to align on timelines and deliverables. This cross-disciplinary teamwork ensures that imaging solutions are both scientifically robust and practically applicable in clinical workflows.

What are the key skills and qualifications needed to thrive as an imaging data scientist, and why are they important?

To thrive as an Imaging Data Scientist, you need a strong background in computer science, mathematics, and image analysis, often supported by an advanced degree in a related field. Familiarity with programming languages like Python or MATLAB, machine learning frameworks, and image processing tools such as OpenCV or ITK is typically required. Strong analytical thinking, attention to detail, and effective communication skills help distinguish top performers in this role. These skills and qualities are crucial for developing accurate image-based models, collaborating with interdisciplinary teams, and translating complex data into actionable insights.

What is the difference between Imaging Data Scientist vs Medical Data Scientist?

AspectImaging Data ScientistMedical Data Scientist
CredentialsTypically requires a degree in data science, computer science, or related fields; familiarity with imaging softwareRequires a degree in data science, biostatistics, or healthcare-related fields; often with knowledge of medical terminologies
Work EnvironmentWorks in healthcare, research institutions, or tech companies focusing on imaging dataWorks in hospitals, healthcare organizations, or biotech firms analyzing medical data
Industry UsageUsed in medical imaging analysis, radiology, and diagnostic researchApplied in clinical research, patient data analysis, and healthcare decision support

Imaging Data Scientists focus on analyzing medical images like MRI, CT scans, and X-rays, utilizing machine learning and image processing techniques. Medical Data Scientists work with broader healthcare data, including electronic health records and clinical data. While both roles require data science skills, Imaging Data Scientists specialize in imaging modalities, making their roles distinct yet overlapping in healthcare analytics.

What are popular job titles related to Imaging Data Scientist jobs in Arizona?

For Imaging Data Scientist jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Imaging Data Scientist jobs in Arizona look for?

The top searched job categories for Imaging Data Scientist jobs in Arizona are:

What cities in Arizona are hiring for Imaging Data Scientist jobs?

Cities in Arizona with the most Imaging Data Scientist job openings:

Imaging Data Scientist jobs near you
Infographic showing various Imaging Data Scientist job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $114,378 per year, or $55 per hour.

AI Data Scientist

Prosum Inc.

Phoenix, AZ • On-site

Other

Posted 22 days ago

Job description

Job Description
Our client is seeking an AI Data Scientist for a direct hire opportunity in North Phoenix, AZ or Hillsboro, OR. This role sites onsite 4 days a week and 1 day will be remote.
The AI Data Scientist will focus on developing state-of-the-art Automated Defect Classification (ADC) and Die-to-Database (DB) comparison algorithms, transforming advanced mathematical modeling into real-world industrial intelligence.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Algorithm & Model Development
  • Design, train, and optimize deep learning and computer vision models for automated defect detection and classification.
  • Develop object detection and image classification algorithms to identify micro-scale defects such as particles, scratches, and pattern anomalies.
Die-to-Database (DB) Comparison
  • Develop high-precision image registration, geometric alignment, and image matching algorithms to compare captured optical images against CAD database layouts.
  • Improve alignment accuracy and robustness under varying imaging conditions.
Advanced Data Analytics
  • Apply statistical modeling, signal processing, denoising, and feature extraction techniques to improve image quality and inspection accuracy.
  • Analyze large, noisy datasets to optimize signal-to-noise ratio and model performance.
Model Development & Continuous Improvement
  • Evaluate model performance using real-world inspection data and analyze edge cases.
  • Improve model accuracy through iterative training, active learning, and few-shot learning techniques.
  • Collaborate with software engineers, field application teams, and domain experts to deploy and validate production-ready AI models.
Miscellaneous Responsibilities
  • Document algorithms, experiments, and model performance results.
  • Participate in code reviews, technical discussions, and knowledge sharing.
  • Assist with data preparation, annotation, validation, and quality assurance.
  • Stay current with advances in computer vision, machine learning, and AI technologies.
  • Collaborate with cross-functional teams to support product development and model deployment.
  • Perform other duties as assigned.

Please view our Privacy Policy.

Apply