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Image Analyst Jobs in California (NOW HIRING)

Develop and implement image analysis pipelines for digital pathology / histopathology images using classical image processing, ML, and deep learning techniques. * Process and analyze Whole Slide ...

As an Image Processing Engineer, you will help to take raw data off our camera sensors, and clean ... In this role you will help to analyze raw sensor data, identify issues, and propose algorithms to ...

As an Image Processing Engineer, you will help to take raw data off our camera sensors, and clean ... In this role you will help to analyze raw sensor data, identify issues, and propose algorithms to ...

Build Python/Matlab analysis pipelines to compute MTF, SNR/CNR, and other figures of merit ... Lead image-quality activities for NPI programs, including requirements, verification/validation ...

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The role focuses on designing software architecture for image analysis and real-time image augmentation, aiming to bring the product to a production version. Responsibilities : • Software AI, ML ...

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Image Analyst information

See California salary details

$9

$19

$27

How much do image analyst jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for image analyst in California is $19.23, according to ZipRecruiter salary data. Most workers in this role earn between $17.42 and $24.48 per hour, depending on experience, location, and employer.

What does an image analyst do?

An Image Analyst is responsible for examining, interpreting, and processing visual data from various sources such as photographs, satellite images, or medical scans. They use specialized software and analytical techniques to extract information, identify patterns, and support decision-making in fields like healthcare, remote sensing, and security. Image Analysts often collaborate with scientists, engineers, or medical professionals to provide insights and reports based on their findings. Their work is essential in industries that rely on accurate image interpretation for research, diagnostics, or surveillance.

What are the key skills and qualifications needed to thrive as an image analyst, and why are they important?

To thrive as an Image Analyst, you need a solid background in image processing, data analysis, and a relevant degree in fields like computer science or engineering. Familiarity with software such as MATLAB, Python (with OpenCV), and specialized image analysis platforms, as well as knowledge of machine learning techniques, is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret results and collaborate with multidisciplinary teams. These skills are critical for accurately extracting actionable insights from visual data, supporting informed decision-making across industries.

What are some common challenges image analysts face when working with large and diverse datasets?

Image Analysts often encounter challenges related to processing and interpreting large volumes of high-resolution images from diverse sources. Managing data consistency, dealing with varying image quality, and ensuring accurate annotation can be time-consuming. Additionally, collaborating with data scientists and engineers to integrate image data into broader analytical frameworks requires strong communication and problem-solving skills. Staying updated on the latest image analysis tools and techniques is also essential to maintain efficiency and accuracy in this role.

What is the difference between Image Analyst vs Photo Interpreter?

AspectImage AnalystPhoto Interpreter
Required CredentialsTypically requires a degree in imaging, geography, or related fields; certifications in GIS or remote sensing are common.Often requires a background in cartography, geography, or remote sensing; certifications in GIS or aerial imagery are beneficial.
Work EnvironmentPrimarily works in offices, analyzing digital images and data from satellites or drones.Works in offices or field settings, interpreting aerial photographs and satellite images for mapping or analysis.
Employer & Industry UsageUsed by government agencies, defense, and environmental organizations for analysis and intelligence.Employed by mapping agencies, military, and environmental firms for land use, mapping, and reconnaissance.

Both roles involve analyzing imagery, but Image Analysts focus on digital data and remote sensing technologies, while Photo Interpreters primarily work with aerial photographs and traditional imagery. The skills and environments overlap significantly, making them closely related careers in geospatial analysis.

What is an image analyst?

An image analyst is a professional who interprets and evaluates visual data from images and satellite imagery to extract meaningful information. They often use specialized software and may require knowledge of geographic information systems (GIS), remote sensing, and image processing techniques.

What cities in California are hiring for Image Analyst jobs?

Cities in California with the most Image Analyst job openings:

Infographic showing various Image Analyst job openings in California as of August 2026, with employment types broken down into 84% Full Time, 10% Part Time, and 6% Contract. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution, with an average salary of $40,001 per year, or $19.2 per hour.

Image Data Scientist

South San Francisco, CA • On-site

$120 - $180/hr

Other

Medical, Dental, Vision, Retirement

Posted 10 days ago


Job description

Our client, a world leader in life sciences and biotechnology, is looking for a “Image Data Scientist” based out of South San Francisco, CA. Job Duration: Long Term Contract (Possibility Of Extension) Company Benefits: Medical, Dental, Vision, Paid Sick leave, 401K

The Translational Safety, Pathology – Digital Pathology team is seeking an Image Data Scientist to support the development of computational image analysis workflows for digital histopathology.

Key Responsibilities
  • Develop and implement image analysis pipelines for digital pathology / histopathology images using classical image processing, ML, and deep learning techniques.
  • Process and analyze Whole Slide Images (WSI) using tools such as OpenSlide or similar.
  • Collaborate with pathologists and scientists to design image analysis workflows aligned with biological research questions.
  • Perform statistical analyses, data visualization, and support development of AI-driven pathology algorithms.
  • Contribute to computational tool development and workflow optimization.
Required Qualifications
  • MS/PhD in Data Science, Computer Vision, Bioinformatics, Computational Biology, or related field with 5+ years of experience.
  • Strong Python programming skills including NumPy, Pandas, Scikit-learn, OpenCV.
  • Experience with computer vision, image processing, classification, segmentation, and digital pathology analytics.
  • Hands‑on experience with Whole Slide Image (WSI) analysis.
  • Expertise with deep learning frameworks such as PyTorch, TensorFlow, or Keras.
  • Experience working in HPC environments / SLURM.
  • Proficiency with Git/GitHub/GitLab version control.
Preferred Skills
  • Digital pathology platforms (HALO, Visiopharm, QuPath).
  • Object detection / segmentation tools (Detectron2).
  • Workflow orchestration (Dagster, Airflow).
  • Cloud computing exposure (AWS EC2).
  • GUI development using Tkinter or PyQt.
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