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Image Analysis Jobs in Boston, MA (NOW HIRING)

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 ...

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 ...

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All JobsImage Analysis JobsImage Analysis Jobs in Boston, MA

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How much do image analysis jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for image analysis in Boston, MA is $30.35, according to ZipRecruiter salary data. Most workers in this role earn between $26.11 and $32.40 per hour, depending on experience, location, and employer.

What is an image analysis?

An Image Analysis job involves processing and interpreting visual data from images using software, algorithms, and machine learning techniques. Professionals in this field work with industries like healthcare, security, agriculture, and automation to extract meaningful insights from images. Tasks may include object detection, pattern recognition, and quality inspection. Strong skills in computer vision, programming (Python, MATLAB), and data analysis are essential for this role.

What types of projects or industries can image analysis professionals expect to work in?

Image Analysis professionals work on a variety of projects across industries such as healthcare, remote sensing, autonomous vehicles, manufacturing, and security. Typical responsibilities may include processing medical images for diagnostics, developing computer vision algorithms for automation, or analyzing satellite imagery for environmental monitoring. Collaboration with domain experts—like doctors, engineers, or data scientists—is common, as solutions often require interdisciplinary knowledge. Many roles offer structured career development, with opportunities to advance into senior analyst, technical lead, or specialized research positions.

What are the key skills and qualifications needed to thrive in the image analysis position, and why are they important?

To thrive in Image Analysis, you need a strong background in mathematics, computer vision, and data science, often supported by a relevant degree such as computer science, engineering, or a related field. Proficiency with image processing tools and programming languages like Python, MATLAB, OpenCV, and familiarity with machine learning frameworks are commonly required. Attention to detail, analytical thinking, and effective communication are essential soft skills for interpreting results and collaborating with multidisciplinary teams. These competencies are critical for accurately analyzing visual data and delivering actionable insights in diverse settings like healthcare, research, and industry.

How to become an image analysis?

To become an image analyst, typically a bachelor's degree in computer science, engineering, or a related field is required. Developing skills in image processing, machine learning, and using tools like MATLAB or Python is essential, along with experience in data analysis and computer vision techniques.

What does an image analysis do?

An image analysis professional examines visual data to identify, interpret, and extract information from images using tools like computer vision and machine learning algorithms. They often work with software such as MATLAB or Python and may require knowledge of data labeling, pattern recognition, and image processing techniques. Their work supports applications in fields like healthcare, security, and manufacturing.

What are the most commonly searched types of Image Analysis jobs in Boston, MA?

The most popular types of Image Analysis jobs in Boston, MA are:

What are popular job titles related to Image Analysis jobs in Boston, MA?

For Image Analysis jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Image Analysis jobs in Boston, MA look for?

The top searched job categories for Image Analysis jobs in Boston, MA are:

What cities near Boston, MA are hiring for Image Analysis jobs?

Cities near Boston, MA with the most Image Analysis job openings:

Image Analysis jobs near you
Infographic showing various Image Analysis job openings in Boston, MA as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $63,124 per year, or $30.3 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 23 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.

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