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What are the key skills and qualifications needed to thrive as a radiomics specialist?

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 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 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.

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.
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Radiomics jobs near you
Infographic showing various Radiomics job openings in the United States as of August 2026, with employment types broken down into 8% Internship, and 92% Full Time. Highlights an 100% Physical job distribution.

Sr. Radiomics and AI Engineer (Radiology)

Johns Hopkins University

Baltimore, MD • On-site

$101K - $177K/yr

Full-time

Re-posted 26 days ago

Johns Hopkins University rating

8.0

Company rating: 8.0 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

186th of 617 rated colleges and universities

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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About Johns Hopkins University

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Gilman believed that teaching and research go hand in hand—that success in one depends on success in the other—and that a modern university must do both well. He also believed that sharing our knowledge and discoveries would help make the world a better place. In 145 years, we haven’t strayed from that vision. This is still a destination for excellent, ambitious scholars and a world leader in teaching and research. Distinguished professors mentor students in the arts and music, humanities, social and natural sciences, engineering, international studies, education, business, and the health professions. Those same faculty members, along with their colleagues at the university’s Applied Physics Laboratory, have made us the nation’s leader in federal research and development funding every year since 1979. That’s a fitting distinction for America’s first research university, a place that has revolutionized higher education in the U.S. and continues to bring knowledge and discoveries to the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Baltimore, MD, US

Year founded

1876

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