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Image Analysis Scientist Jobs in California (NOW HIRING)

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 ...

Merge

Scientific Data Engineer

San Francisco, CA · On-site

$150 - $200/hr

Image analysis will be an important initial area of focus, alongside data modeling and analysis ... You will work directly with scientists to understand their questions, identify the reusable ...

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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.

Scientist, Assay Development & Digital Pathology (AcelaBio)

Alimentiv

San Diego, CA • On-site

$150K - $200K/yr

Full-time

Re-posted 18 days ago

Job description

About AcelaBio

AcelaBio is a CAP- and CLIA-accredited specialty histopathology laboratory based in San Diego, CA. We deliver anatomic histopathology, immunostaining, digital image analysis, spatial transcriptomics, and biomarker endpoints to pharmaceutical and biotechnology sponsors. Our team is scientifically driven, client-focused, and committed to advancing translational research through rigorous, reproducible methods.

About the opportunity

This is a high-impact, technically hands-on role at the intersection of immunostaining assay development, quantitative image analysis, and client science. You will build and optimize IHC, multiplex IF, and ISH assays from the ground up, develop and maintain AI-assisted image analysis pipelines, and serve as a scientific lead for sponsor studies across preclinical and clinical programs.

You will work directly with pathologists, laboratory technicians, project operations, and business development teams, and will be a visible scientific partner to our pharmaceutical and biotechnology clients. If you are someone who thrives on solving complex assay challenges, values scientific rigor, and enjoys translating data into clear, actionable insights for sponsors, this role is built for you.

Role Logistics: On-site, San Diego (required). Travel expectations ~ 10% 

Responsibilities
  • What you'll be doing:
Assay Development, Image Analysis (Core Focus):
  • Design, develop, optimize, and validate immunostaining assays including single-plex IHC, multiplex immunofluorescence (mIF), in situ hybridization (ISH), and spatial biology platforms.
  • Define analytical endpoints, scoring strategies, and QC metrics aligned with assay performance requirements.
  • Develop, validate, and maintain image analysis pipelines using platforms such as Visiopharm, HALO, or equivalent software.
  • Build and implement AI/machine learning algorithms for tissue segmentation, cell phenotyping, and biomarker quantification.
  • Ensure traceability, reproducibility, and thorough documentation of all analysis workflows.
  • Contribute to assay validation documentation, analytical reports, and regulatory-aligned deliverables.
  • Partner with histotechnicians to support hands-on assay troubleshooting and knowledge transfer
Scientific Leadership & Client Engagement;
  • Serve as a scientific interface for sponsors, participating in protocol reviews, study design discussions, and data review meetings.
  • Provide expert guidance on biomarker study design incorporating omics and non-omics endpoints.
  • Prepare and review project plans, analysis plans, study reports, abstracts, and technical manuscripts. 
  • Deliver clear, scientifically rigorous data visualizations, analyses, and summaries tailored to sponsor audiences 
 
Business Development and Innovation:
  • Support RFP responses, project pricing, protocol review, and bid defense activities.
  • Contribute to the development of sales, marketing, and promotional scientific content.
  • Drive continuous improvement of our computational pathology, spatial biology, and translational research service offerings.
  • Participate in capability development and functionality reviews to expand the AcelaBio service portfolio.
Qualifications

  • Education and Experience:

    • Graduate degree (M.Sc. or Ph.D.) in a relevant scientific discipline (pathology, cell biology, molecular biology, biomedical engineering, or related field).
    • 7 or more years of hands-on experience in IHC/IF assay development and image analysis in a CRO, biopharma, or regulated research environment.
    • Demonstrated experience building image analysis algorithms or pipelines in platforms such as Visiopharm, HALO, or similar.
    • Exposure to spatial biology platforms (e.g., 10x Visium, Xenium, Akoya PhenoCycler) is a strong asset.
  • Technical Skills & Competencies:
    • Deep practical knowledge of chromogenic IHC and multiplex immunofluorescence, including antibody selection, panel design, optimization, and troubleshooting.
    • Proficiency in digital pathology image analysis and quantitative biomarker readout strategies.
    • Familiarity with AI/ML approaches for histopathology applications.
    • Understanding of regulatory and GxP expectations for assay validation documentation.
    • Scientific rigor and meticulous attention to detail.
    • Ability to communicate complex scientific concepts clearly to both technical and non-technical stakeholders.
    • Strong written and oral English communication skills; comfortable presenting at client meetings and scientific forums.
    • Ability to manage multiple projects in a fast-paced, client-driven environment.
    • Collaborative mindset with the ability to work across laboratory, scientific, and operational functions.
+ bonus
 
 
Stay Alert to Recruitment Scams
We have been made aware of individuals posing as our recruiters and contacting candidates with fraudulent opportunities. Our hiring process always includes direct engagement with a recruiter or hiring manager, and we will never ask for sensitive personal information early in the process. Official communication will only come from our company email domains. If something doesn’t feel right, we encourage you to verify before responding.
Compensation is dependent on the unique experience, skills, and education the successful candidate brings to the role. The range above represents an estimated base salary that we would expect to compensate at, but we encourage applicants to speak with the member of the TA team if contacted for an initial phone screen should your expectations differ from those listed above.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.