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Image Analysis Scientist Jobs in California (NOW HIRING)

Merck & Co.

$62K - $63K/yr

Build image analysis pipelines for high content and optical CRISPR screens, turning morphological ... Lead and mentor a team of scientists, set the technical direction for functional genomics analytics ...

TPIRC

Project Scientist

Long Beach, CA · On-site

$75K - $95K/yr

Job Title: Project Scientist Employment Type: Full-Time, On-Site in Long Beach, CA 90806 ... Fluorescence microscopy and image analysis * Flow cytometry and cell sorting (FACS) * Biomarker ...

TPIRC

Project Scientist

Long Beach, CA · On-site

$75K - $95K/yr

Job Title: Project Scientist Employment Type: Full-Time, On-Site in Long Beach, CA 90806 ... Fluorescence microscopy and image analysis * Flow cytometry and cell sorting (FACS) * Biomarker ...

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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 Sep 7, 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 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $62,993 per year, or $30.3 per hour.

SRA 1/2

University of California San Francisco

San Francisco, CA • On-site

Full-time

Re-posted 8 days ago

University Of California San Francisco rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

237th of 631 rated colleges and universities

Job description


Please note: this is a temporary assignment (5 months).
The Institute for Neurodegenerative Diseases (IND) at UCSF is looking for a Staff Research Associate (SRA) to join the High Throughput Screening (HTS) group. In this role, you will be part of the HTS group, charged with screening novel chemical libraries and biologicals using cell-based high content imaging (HCI) assays, to identify candidate small molecule therapeutics for treating diverse neurodegenerative diseases such as Parkinson's Disease. The primary responsibilities of this position are to execute end-point imaging assays, conduct quantitative analyses and generate consumable data. This position includes hands-on lab work, especially operating and maintaining automation, high-content imaging of cells, analyses and uploading imaging data, cell culture, and helping the team with running cell-based and biochemical drug screening assays. Additionally, the candidate will be required to perform appropriate experimental planning, data analysis, documentation of results and supply management required to complete all aspects of the experimental work.
Working hours:
12 pm to 8:30 pm on-site work hours on 4 weekdays (Mon, Tues or Wed, Thur, and Fri), and
9:00 am to 5:00 pm on 1 weekend day (Sat or Sun)
Responsibilities
  • Operate and maintain automated laboratory equipment
  • High content image analysis
  • Data analyses
  • Formatting and uploading data
  • Maintain human cell lines

Qualifications
SRA 1:
  • B.S. in Biology, Cell Biology, Biochemistry or related science
  • Mammalian cell culture experience
  • Hands on molecular biology experience
  • Western blot analysis
  • Excellent oral and written communication skills
  • Organized
  • Excellent record keeping skills.
  • Ability to work independently and as part of a team
  • Enthusiasm, positive outlook and scientific curiosity.

SRA 2: In addition to the above,
  • Minimum 1 year experience in a research laboratory environment following degree completion

Preferred Qualifications
  • M.S. in Biology, Cell Biology, Biochemistry or related science
  • BSL 2/3 approved (Bio Secure Lab)
  • Experience with high content imaging and image analysis
  • Experience with robotic liquid handling equipment
  • Some knowledge of neurodegenerative disease research
  • 3 years experience in a research laboratory environment following degree completion

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