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Medical Image Analysis Jobs (NOW HIRING)

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX

$46K - $63K/yr

Experience with machine learning and deep learning techniques, mathematical modeling, or medical image analysis is preferred Applicants do not need to be US citizens or permanent residents. This ...

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX

$46K - $63K/yr

Experience with machine learning and deep learning techniques, mathematical modeling, or medical image analysis is preferred. Applicants do not need to be US citizens or permanent residents. This ...

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX

$46K - $63K/yr

Experience with machine learning and deep learning techniques, mathematical modeling, or medical image analysis is preferred. Applicants do not need to be US citizens or permanent residents. This ...

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Medical Image Analysis information

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$13

$35

$68

How much do medical image analysis jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for medical image analysis in the United States is $35.24, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $43.75 per hour, depending on experience, location, and employer.

What are the common daily responsibilities of someone working in Medical Image Analysis?

Professionals in Medical Image Analysis typically spend their day processing and interpreting medical images such as X-rays, MRIs, or CT scans, using advanced software tools and algorithms. They collaborate closely with radiologists, clinicians, and data scientists to develop and validate imaging techniques, contribute to diagnosis, and improve workflow efficiency. Additional tasks often include optimizing image acquisition protocols, documenting findings, and maintaining quality assurance standards. This role may also involve participating in research projects, developing automated analysis tools, and providing technical support and training to healthcare staff.

What is a Medical Image Analysis job?

A Medical Image Analysis job involves using advanced algorithms, artificial intelligence, and image processing techniques to analyze medical images such as X-rays, MRIs, CT scans, and ultrasounds. Professionals in this field develop and apply computational methods to assist in disease diagnosis, treatment planning, and medical research. They often work with radiologists, healthcare practitioners, and data scientists to improve accuracy and efficiency in medical imaging. This role requires expertise in machine learning, computer vision, and biomedical imaging.

What are the key skills and qualifications needed to thrive in the Medical Image Analysis position, and why are they important?

To thrive in Medical Image Analysis, a strong background in biomedical engineering, computer science, or radiology, paired with expertise in image processing and data interpretation, is essential. Familiarity with specialized software such as MATLAB, Python libraries (e.g., OpenCV), and medical imaging systems (PACS, DICOM), as well as certifications in medical imaging or AI, are often required. Strong analytical thinking, attention to detail, and effective collaboration with clinicians and researchers are important soft skills. These competencies ensure accurate interpretation, diagnosis, and seamless integration of imaging insights into patient care.

More about Medical Image Analysis jobs
What cities are hiring for Medical Image Analysis jobs? Cities with the most Medical Image Analysis job openings:
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What states have the most Medical Image Analysis jobs? States with the most job openings for Medical Image Analysis jobs include:
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Medical Image Analysis jobs near you
Infographic showing various Medical Image Analysis job openings in the United States as of June 2026, with employment types broken down into 14% As Needed, 43% Full Time, and 43% Part Time. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $73,307 per year, or $35.2 per hour.
NLM Deep Learning Software Developer

NLM Deep Learning Software Developer

Lexical Intelligence LLC

Bethesda, MD

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 28 days ago

Key responsibilities

  • Develop deep learning models to support clinical decision-making for retinal diseases using retinal images, genomic data, and clinical records.

  • Develop algorithms for disease detection, severity classification, and longitudinal progression prediction, focusing on retinal diseases as well as other patient data.

  • Build and optimize deep learning tools for deployment on Android, iOS, and web-based platforms.

Job description

Deep Learning Software Developer

Lexical Intelligence provides software and services related to processing large-scale biomedical information sources. Our Natural Language Processing (NLP) and analytics software is used by policy and decision makers to evaluate and prioritize current and emerging areas of research.


Overview:
We are seeking a Deep Learning Software Developer to support projects at the Applied Clinical Informatics Branch (ACIB), Lister Hill National Center for Biomedical Communications (LHNCBC), National Library of Medicine (NLM), National Institutes of Health (NIH). This
position involves applying deep learning techniques to biomedical images and clinical data for clinical decision-making and prediction. The role focuses on the development of tools for retinal disease detection, severity classification, disease progression prediction, and more. The ideal candidate will have a strong background in deep learning, particularly for medical image analysis, and experience with high-performance computing environments.


Key Responsibilities:

  • Develop deep learning models to support clinical decision-making for retinal diseases using retinal images, genomic data, and clinical records
  • Develop algorithms for disease detection, severity classification, and longitudinal progression prediction, focusing on retinal diseases as well as other patient data.
  • Build and optimize deep learning tools for deployment on Android/iOS/Web-based
    platforms.

Required Skills and Experience:

  • Ph.D. in computer science, computer engineering, or relevant field or M.S. with 5+ years of relevant experience in image analysis, machine learning, and deep learning.
  • Proven experience writing manuscripts or papers for journals and conferences.
  • Extensive experience with medical image processing, data analysis, and classification techniques.
  • Expertise in developing custom deep learning workflows, including visualizing activations.
  • Strong understanding of machine learning techniques, including Support Vector Machines (SVM), Multilayer Perceptron (MLP), and Convolutional Neural Networks (CNNs).
  • Proficiency in Decision Tree algorithms such as Random Forest, XGBoost, and LightGBM.
  • Experience in statistical analysis of experimental results.
  • Familiarity with Linux and Windows environments.
  • Hands-on experience with high-performance GPU clusters and multi-GPU setups for deep learning tasks.
  • Expertise in programming with Python, Keras, and PyTorch.
  • Experience in developing Android, iOS, or web applications.

Required Professional and Personal Qualities:

  • Strong organizational and time management skills, with flexibility to adapt to shifting priorities.
  • Ability to write clean, efficient, and well-documented code.
  • Excellent interpersonal skills, with the ability to both collaborate and work independently.
  • Strong oral and written communication skills, with the ability to clearly document projects and provide regular status reports.
  • Highly detail-oriented with the ability to manage multiple tasks and deliver results in a timely manner.


Salary and Benefits: We offer a competitive salary and a generous benefits package, including at no cost: full health and dental for you and your dependents, retirement and HSA accounts, short- and long-term disability insurance, life and accident insurance, paid time off, and 11 federal holidays.

Location: NIH Campus, Bethesda, MD


Equal Employment Opportunity Policy: Lexical Intelligence, LLC, provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.


Lexical Intelligence, LLC | 2001 Veirs Mill Rd #546 | Rockville, MD 20851

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