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Radiomics Jobs (NOW HIRING)

Bayer

Director, Translational Imaging Lead

Cambridge, MA · On-site

$169K - $254K/yr

Direct the global oncology Radiomics approach, providing expertise and leadership across the portfolio; * Coordinate all aspects of imaging delivery in synchronization with the drug R&D process ...

Mount Sinai Hospital

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

... radiomics; * At least one first author research publication in a related subject; * Strong communication skills and excellent scientific writing ability; * Highly motivated and independent; * The ...

Wisconsin

Scientist - Tiwari Research Lab

Madison, WI

... radiomics (machine learning in radiology imaging) methods for projects ongoing in Dr. Pallavi Tiwari's lab. The research conducted by Tiwari lab utilizes medical imaging and clinical data to build ...

The University of Chicago

Research Technician

Chicago, IL · On-site

$19.23 - $26.44/hr

Computational responsibilities would include performing coding and analysis of clinical imaging from a radiomics and pathomics standpoint. The Research Technician will help develop, design and ...

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Radiomics information

What are the key skills and qualifications needed to thrive as a Radiomics Specialist, and why are they important?

To thrive as a Radiomics Specialist, you need a solid background in medical imaging, data analysis, and computational science, typically supported by a degree in biomedical engineering, computer science, or a related field. Proficiency in programming languages (such as Python or MATLAB), experience with machine learning frameworks, and familiarity with medical imaging software are crucial. Strong problem-solving abilities, attention to detail, and effective interdisciplinary communication are standout soft skills. These skills ensure accurate extraction and interpretation of quantitative imaging features, driving advancements in precision medicine and research.

What jobs in the US pay 300,000 a year?

Radiomics professionals, typically working in medical imaging analysis within healthcare or research institutions, rarely reach a $300,000 annual salary. High-paying roles in healthcare, such as radiologists or specialized medical directors, can exceed this amount, but radiomics itself usually offers salaries below that threshold unless combined with senior clinical or research responsibilities. Advanced skills in imaging, machine learning, and medical data analysis are essential for higher compensation in related fields.

What is the difference between Radiomics vs Medical Imaging Technologist?

AspectRadiomicsMedical Imaging Technologist
Required CredentialsAdvanced degrees in medical imaging, data analysis, or related fields; often requires certification in imaging or data scienceCertification in radiologic technology (e.g., ARRT), associate or bachelor's degree in radiologic technology
Work EnvironmentResearch settings, hospitals, or academic institutions focusing on image analysis and data extractionHospitals, clinics, imaging centers performing diagnostic scans
Industry UsagePrimarily in research, data analysis, and development of imaging biomarkersClinical diagnostics, patient imaging, and routine scans

While Radiomics involves extracting quantitative data from medical images for research and analysis, Medical Imaging Technologists focus on acquiring diagnostic images for patient care. Both roles are essential in medical imaging but differ in their focus, credentials, and work environment.

What jobs pay $2000 a day?

In the field of radiomics, high-paying roles such as senior research scientists, medical imaging specialists, or data science consultants can sometimes earn around $2000 per day, especially with extensive experience, advanced skills in machine learning, and relevant certifications. These positions often require a strong background in medical imaging, programming, and statistical analysis, and may involve consulting or project-based work in healthcare or biotech industries.

What are some common challenges faced by radiomics professionals when working with multi-institutional imaging datasets?

Radiomics professionals often encounter challenges related to data heterogeneity when collaborating across multiple institutions. Differences in imaging protocols, scanner types, and image acquisition parameters can result in variability that affects feature extraction and model generalizability. Addressing these challenges typically involves rigorous data harmonization, standardization of workflows, and close collaboration with radiologists and IT specialists to ensure data integrity and reproducibility. Additionally, maintaining compliance with data privacy regulations is crucial when handling patient images from diverse sources.

Are radiologists still in demand?

Radiologists are still in demand due to the ongoing need for medical imaging interpretation in healthcare. Advances in imaging technology and the integration of AI tools have increased the importance of specialized radiology skills, supporting continued employment opportunities in hospitals, clinics, and diagnostic centers.

What is radiomics?

Radiomics is a field in medical imaging that involves extracting large amounts of quantitative features from medical images using data-characterization algorithms. These features, which are often invisible to the human eye, can help in predicting disease diagnosis, prognosis, and response to treatment. Radiomics is commonly used in oncology to analyze tumors in CT, MRI, or PET scans. By converting images into high-dimensional data, radiomics supports more personalized and precise medical decisions.

What field of radiology pays the most?

Within radiology, subspecialties like interventional radiology and nuclear medicine tend to have the highest salaries due to their specialized skills and procedures. Radiologists with advanced training, certifications, and experience in these areas often earn higher compensation compared to general radiologists.
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Radiomics jobs near you
Infographic showing various Radiomics job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Sr. Radiomics and AI Engineer (Radiology)

Sr. Radiomics and AI Engineer (Radiology)

Johns Hopkins University

Baltimore, MD • On-site

$101K - $177K/yr

Full-time

Posted 12 days ago

Johns Hopkins Medicine rating

7.5

Company rating: 7.5 out of 10

Based on 202 frontline employees who took The Breakroom Quiz

228th of 877 rated healthcare providers

Job description

We are seeking a Sr. Radiomics and AI Engineer who will be responsible for developing and implementing algorithms and software that can analyze medical images and extract clinically relevant features using machine learning and deep learning techniques for the Department of Radiology-Diagnostic Imaging Division.
Specific Duties & Responsibilities
  • Develop and implement machine learning and deep learning algorithms to analyze medical images.
  • Collaborate with radiologists, oncologists, and other healthcare professionals to identify clinically relevant features that can be extracted from medical images.
  • Design and implement data preprocessing pipelines to ensure high-quality input data for the algorithms.
  • Develop and maintain software tools for data analysis, visualization, and reporting.
  • Test and validate the algorithms and software using clinical data sets and real-world scenarios.
  • Continuously monitor and improve the performance of the algorithms and software.
  • Stay up to date with the latest research and developments in radiomics, medical imaging, and artificial intelligence.
  • Maintain the cluster, computational, and storage resources in the Felix lab, which are used for training and deploying AI models.

Minimum Qualifications
  • Master's in Computer Science, Biomedical Engineering, or a related field.
  • Two years of experience with machine learning, deep learning, and data analysis.
  • Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.

Preferred Qualifications
  • Proficiency in programming languages such as Python, C++, and MATLAB.
  • Familiarity with software development best practices, including version control, testing, and documentation.
  • Experience in healthcare or medical research.
  • Experience working in a multidisciplinary team environment.

Classified Title: Sr. Radiomics & AI Research Engineer
Job Posting Title (Working Title): Sr. Radiomics and AI Engineer (Radiology)
Role/Level/Range: ACRP/04/MH
Starting Salary Range: $101,500 - $177,800 Annually ($127,500 targeted; Commensurate w/exp.)
Employee group: Full Time
Schedule: M-F 8:30-5
FLSA Status: Exempt
Location: School of Medicine Campus
Department name: SOM Rad Diagnostic Imaging
Personnel area: School of Medicine

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