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Image Analysis Scientist Jobs in California (NOW HIRING)

Doist

Image Data Scientist

South San Francisco, CA · On-site

$120 - $180/hr

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 ...

Aequor

Associate Scientist

South San Francisco, CA · On-site

The Associate Scientist will develop and implement specialized tissue-based assays (including multiplex assays and image analysis) to support specific portfolio related questions on target expression ...

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All JobsImage Analysis Scientist JobsImage Analysis Scientist Jobs in California

Image Analysis Scientist information

See California salary details

$11.4K

$63K

$80.9K

How much do image analysis scientist jobs pay per year?

As of Aug 25, 2026, the average yearly pay for image analysis scientist in California is $62,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,200.00 and $80,400.00 per year, depending on experience, location, and employer.

What does an image analysis scientist do?

An Image Analysis Scientist specializes in developing and applying algorithms and techniques to interpret and extract meaningful information from digital images. Their work often involves using machine learning, computer vision, and statistical analysis to process images from sources like microscopes, satellites, or medical scans. These scientists play a key role in industries such as healthcare, remote sensing, and biotechnology, helping to automate image-based data interpretation and support decision making. The job typically requires strong programming skills and a background in mathematics, statistics, or a related scientific field.

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

To thrive as an Image Analysis Scientist, you need a solid background in computer vision, data analysis, and a relevant degree in fields like computer science, engineering, or physics. Familiarity with programming languages (such as Python or MATLAB), image processing libraries (OpenCV, scikit-image), and experience with machine learning frameworks are typically required. Strong analytical thinking, attention to detail, and the ability to communicate complex results clearly are standout soft skills. These competencies are crucial for accurately interpreting visual data, developing robust analytical solutions, and translating findings into actionable insights.

What are some of the common challenges faced by image analysis scientists when working with large datasets?

Image Analysis Scientists often encounter challenges such as managing and processing extremely large datasets, which can strain computational resources and storage. Ensuring data quality and consistency across diverse imaging modalities is another key hurdle. Additionally, developing robust algorithms that generalize well to new data while minimizing false positives or negatives can be complex. Collaboration with interdisciplinary teams, including biologists, engineers, or clinicians, is essential to accurately interpret results and refine analysis pipelines.

What is the difference between Image Analysis Scientist vs Data Scientist?

AspectImage Analysis ScientistData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fields; experience with image processing and machine learningBachelor's or Master's in Data Science, Statistics, or related fields; strong programming and analytical skills
Work EnvironmentResearch labs, healthcare, tech companies focusing on image dataBusiness, finance, tech firms analyzing large datasets
Industry UsageMedical imaging, remote sensing, computer visionFinance, marketing, e-commerce, tech

While both roles involve data analysis and machine learning, Image Analysis Scientists specialize in processing and interpreting visual data, often in healthcare or remote sensing, whereas Data Scientists work with diverse datasets across various industries. The roles share similar skills but focus on different types of data and applications.

What are popular job titles related to Image Analysis Scientist jobs in California?

For Image Analysis Scientist jobs in California, the most frequently searched job titles are:

What job categories do people searching Image Analysis Scientist jobs in California look for?

The top searched job categories for Image Analysis Scientist jobs in California are:

Image Analysis Scientist jobs near you
Infographic showing various Image Analysis Scientist job openings in California as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $62,993 per year, or $30.3 per hour.

Image Data Scientist

Doist

South San Francisco, CA • On-site

$120 - $180/hr

Other

Medical, Dental, Vision, Retirement

Posted 6 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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