ZipRecruiter

Log In

1

Image Analysis Scientist Jobs (NOW HIRING)

InterImage

Experience analyzing and developing algorithms to correct scientific image data containing aberrations, lensing defects, optical anomalies, distortions, non-linearity, etc. Expertise in developing ...

Nucs AI

Machine Learning Scientist

Berlin, MA · On-site +1

Develop novel ML/DL methods for medical image analysis, including segmentation, lesion detection ... Support scientific diligence with pharma and clinical partners * Contribute to Nucs AI ...

previous page

Showing results 41-60

All JobsScience JobsResearch JobsScientist JobsImage Analysis Scientist Jobs

Image Analysis Scientist information

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.

More about Image Analysis Scientist jobs

What states have the most Image Analysis Scientist jobs?

States with the most job openings for Image Analysis Scientist jobs include:

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

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

Image Analysis Scientist jobs near you
Infographic showing various Image Analysis Scientist job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

Principal Data Scientist, Medical Imaging

Formation Bio

New York, NY

$204K - $267K/yr

Full-time

Re-posted yesterday

Job description

About the Position

As a Principal Data Scientist - Medical Imaging at Formation Bio, you will lead our efforts to integrate advanced imaging analytics and AI into our drug development pipeline. In this role, you'll pioneer the application of computer vision and deep learning to medical imaging data (MRI, X-ray, CT, PET) to accelerate clinical trials and improve patient outcomes. You'll develop state-of-the-art models for automated image analysis, disease progression monitoring, and treatment response assessment. Working closely with clinical teams, radiologists, and drug development experts, you'll translate complex imaging data into actionable insights that drive key decisions across our portfolio. This position offers a unique opportunity to revolutionize how medical imaging is leveraged in pharmaceutical development while directly impacting patient care.

Responsibilities

  • Lead the development of advanced deep learning models for medical image analysis, focusing on MRI and X-ray modalities for clinical trial applications
  • Design and implement automated image processing pipelines for disease detection, segmentation, and quantification across multiple therapeutic areas
  • Create innovative approaches for longitudinal image analysis to track disease progression and treatment efficacy in clinical trials, incl. AI-based biomarkers and surrogate endpoints
  • Collaborate with clinical operations to integrate imaging AI solutions into trial protocols and workflows
  • Partner with regulatory teams to ensure imaging biomarkers and AI models meet FDA standards for clinical trial endpoints
  • Build scalable infrastructure for processing and analyzing large-scale medical imaging datasets from multi-site clinical trials
  • Present imaging insights and model performance to executive leadership and external partners

About You

Required Qualifications 

  • PhD in Computer Science, Biomedical Engineering, Medical Physics, or related field with focus on medical imaging
  • 5+ years of post-PhD industry experience developing production-grade AI models for medical imaging applications
  • Deep expertise in computer vision and deep learning architectures (CNNs, U-Net, Vision Transformers) for medical image analysis
  • Proven track record with MRI and X-ray image analysis, including hands-on experience with DICOM standards and medical imaging software
  • Strong programming skills in Python with expertise in PyTorch/TensorFlow and medical imaging libraries
  • Demonstrated ability to collaborate with radiologists and clinical teams to translate medical insights into technical solutions
  • Strong communication skills with proven ability to present complex imaging analytics to diverse stakeholders

Preferred Qualifications 

  • Experience with regulatory submissions involving imaging endpoints or AI-based image analysis tools
  • Experience with multi-modal imaging fusion and analysis (combining MRI, CT, PET data)
  • Knowledge of clinical trial design and experience with imaging core lab operations
  • Experience with federated learning or privacy-preserving techniques for medical imaging
  • Understanding of radiomics and quantitative imaging biomarker development
  • Experience with 3D image reconstruction and volumetric analysis

Total Compensation Range: $204,500 - $267,000

Apply