ZipRecruiter

Log In

1

Image Analyst Jobs in Massachusetts (NOW HIRING)

Boston Globe Media

Image Quality Analyst

Taunton, MA · On-site

$55K - $65K/yr

Perform professional color correction and image enhancement to optimize color, contrast, exposure ... Strong problem-solving and analytical abilities * Ability to interpret and execute creative ...

AA2IT

Histology Scientist I

Boston, MA · On-site

$39/hr

Basic understanding of image analysis methodologies and microscopy techniques, including skills in image acquisition and interpretation for effective assessment of staining quality. * Proficiency in ...

Materion

Lab Analyst I

Newton, MA · On-site

Hardness Testing * SEM/EDX (and Image Analysis) * Perform basic cleaning and maintenance of equipment. * Maintain a safe, clean work environment, including the handling and movement of bulk acids.

next page

Showing results 1-20

All JobsImage Analyst JobsImage Analyst Jobs in Massachusetts

Image Analyst information

See Massachusetts salary details

$10

$21

$30

How much do image analyst jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for image analyst in Massachusetts is $21.07, according to ZipRecruiter salary data. Most workers in this role earn between $19.08 and $26.82 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 are popular job titles related to Image Analyst jobs in Massachusetts?

For Image Analyst jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Image Analyst jobs in Massachusetts look for?

The top searched job categories for Image Analyst jobs in Massachusetts are:

Image Analyst jobs near you
Infographic showing various Image Analyst job openings in Massachusetts as of August 2026, with employment types broken down into 84% Full Time, 10% Part Time, and 6% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $43,823 per year, or $21.1 per hour.

Computational Scientist I - Digital Pathology Image Analysis

Broad Institute

Cambridge, MA • On-site

$88K - $124K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Job description

General information
Location
Cambridge, MA
Ref #
44636
Job Family
Research
Workplace
On-Site
Date published
08/11/2026
Time Type
Full time
Pay Range
$88,000.00/yr - $124,000.00/yr
Description & Requirements
The Broad Institute of MIT and Harvard is the world's leading biomedical research institute dedicated to the bold mission of using the full power of genomics to transform the understanding and treatment of disease. We seek to describe all of the molecular components of life and their connections; discover the molecular basis of major human diseases; develop effective new approaches to diagnostics and therapeutics; and disseminate discoveries, tools, methods, and data openly to the entire scientific community.
We are seeking a highly motivated and skilled Computational Scientist I to join our Surfaceome Target Discovery team and the Getz lab. In this role, you will play a critical part in accelerating our target validation pipeline by developing, optimizing, and deploying quantitative image analysis workflows. You will work closely with the Broad Cancer Cell Line Factory, the Dana-Farber Cancer Institute (DFCI) Pathology Core, and the Sellers lab in a highly collaborative and multidisciplinary research environment.
The ideal candidate will have extensive hands-on experience handling whole-slide tissue images, specifically single plex/multiplex Immunohistochemistry (IHC) and multiplex Immunofluorescence (mIF) panels. You will translate target expression patterns, immune microenvironment, and spatial biology into robust, reproducible quantitative metrics to drive surface target validation in patient tumor and normal adult tissue microarrays.
Key Responsibilities
  • Design, develop, and optimize machine learning and AI-based methods for digital pathology applications, including image segmentation, classification, spatial analysis, and predictive modeling using QuPath and other imaging platforms.
  • Build and maintain scalable pipelines for preprocessing, quality control, and analysis of tissue microarray (TMA) and whole-slide imaging datasets generated from high-plex multiplex immunofluorescence (mIF) and chromogenic IHC assays.
  • Develop and execute validation strategies for imaging workflows and classifiers through benchmarking, performance assessment, and external dataset validation to ensure analytical robustness and reproducibility.
  • Collaborate with pathologists and scientists to perform image quality assessment, evaluate classifier accuracy, and identify imaging artifacts, staining variability, segmentation errors, and tissue integrity issues prior to downstream analysis.
  • Partner with pathologists, assay biologists, translational researchers, and/or data scientists to translate biological and clinical questions into quantitative imaging metrics and actionable analytical outputs.
  • Coordinate imaging analyses and deliverables across cross-functional teams to support project goals, timelines, and study milestones.
  • Maintain well-documented, reproducible workflows, including SOP-compliant analysis records, QC documentation, version-controlled code repositories, and organized large-scale imaging datasets.

Qualified Candidates Should Have:
  • Master's or Ph.D. degree in Biomedical Engineering, Bioinformatics, Computer Science, Computational Biology, or a related quantitative life sciences discipline with expertise in digital pathology and image analysis.
    • Candidates with a Master's degree should have at least 4+ years of relevant industry or academic research experience.
  • Demonstrated hands-on experience with QuPath, including cell detection, tissue microenvironment analysis, classifier development, and custom Groovy scripting for workflow automation and scalable image analysis.
  • Strong understanding of tissue-based imaging assays and spatial biology technologies, including H&E, chromogenic IHC, mIF, and related imaging platforms such as Akoya PhenoImager/Opal, COMET, or equivalent systems.
  • Proficiency in Python, R, and/or Groovy for image analysis, spatial data analysis, statistical modeling, and workflow development; experience with deep learning frameworks (e.g., PyTorch or TensorFlow) for tissue segmentation and classification is highly desirable.
  • Experience developing reproducible and well-documented computational workflows, including version-controlled code management and structured data organization practices.
  • Strong analytical, problem-solving, and communication skills, with the ability to work effectively in multidisciplinary research environments.

Preferred Qualifications:
  • Experience with commercial digital pathology platforms such as Indica Labs HALO/HALO AI, Visiopharm, or related image analysis software.
  • Familiarity with cloud-based computing environments (AWS, Google Cloud Platform) and containerized workflow development using Docker or similar technologies.
  • Experience supporting translational oncology, immuno-oncology, or biomarker discovery programs in academic, biotech, or pharmaceutical research settings.
  • Demonstrated scientific contributions through publications, collaborative projects, or presentations involving computational pathology, spatial biology, or quantitative imaging analyses.

The expected base pay range for this position as listed above is based on a 40 hour per week schedule. Broad provides pay ranges representing its reasonable and good faith estimate of what the organization reasonably expects to pay for a position at the time of posting. Actual compensation will vary based on factors including but not limited to, relevant skills, experience, education, qualifications, and other factors permissible by law.
At Broad, your base pay is just one part of a comprehensive total rewards package. From day one, this role offers a competitive benefits package including medical, dental, vision, life, and disability insurance; a 401(k) retirement plan; flexible spending and health savings accounts; at least 13 paid holidays; winter closure; paid time off; parental and family care leave; and an employee assistance program, among other Broad benefits.
The Broad Institute is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, disability, protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
Should you need a reasonable accommodation to complete the application or interview process, please contact recruiting@broadinstitute.org for assistance.

Apply