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Contract Research Fellow Radiology Jobs (NOW HIRING)

Develops/Manages Processes & Systems - Assists with contracts Assists in the negotiation of physician managed care contracts, analytics, and financial modeling. * Upholds Standards/Expectations of ...

Develops/Manages Processes & Systems - Assists with contracts Assists in the negotiation of physician managed care contracts, analytics, and financial modeling. * Upholds Standards/Expectations of ...

Radiology Fellow

Chesterfield, MO · On-site

$316K - $395K/yr

DIAGNOSTIC RADIOLOGY FELLOWSHIP: The Diagnostic Radiology Fellowship is a one-year comprehensive ... or research, and eligibility for the American Chiropractic Board of Radiology (ACBR) exam. The ...

Radiology Fellow

Chesterfield, MO · On-site

$316K - $395K/yr

DIAGNOSTIC RADIOLOGY FELLOWSHIP: The Diagnostic Radiology Fellowship is a one-year comprehensive ... or research, and eligibility for the American Chiropractic Board of Radiology (ACBR) exam. The ...

Radiology Fellow

Chesterfield, MO · On-site

$316K - $395K/yr

DIAGNOSTIC RADIOLOGY FELLOWSHIP: The Diagnostic Radiology Fellowship is a one-year comprehensive ... or research, and eligibility for the American Chiropractic Board of Radiology (ACBR) exam. The ...

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Contract Research Fellow Radiology information

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How much do contract research fellow radiology jobs pay per year?

As of Sep 3, 2026, the average yearly pay for contract research fellow radiology in the United States is $69,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $65,000.00 per year, depending on experience, location, and employer.
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Infographic showing various Contract Research Fellow Radiology job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $69,680 per year, or $33.5 per hour.

Research Fellow - Diagnostic Imaging Felix Lab

Johns Hopkins University

Baltimore, MD • On-site

Full-time

PTO

Re-posted 12 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

190th of 628 rated colleges and universities


Job description

Description
The Johns Hopkins University School of Medicine Department of Radiology in the Russell H. Morgan Department of Radiology and Radiological Science in Baltimore, MD is seeking a post-doc research fellow to be hired in the FELIX 2.0 laboratory (https://thefelixlab.jhmi.edu/). This is a full time, post-doc position. We offer a competitive salary, vacation and excellent benefits.
The FELIX 2.0 laboratory aims to change the trajectory of how pancreatic cancer is detected, how patients are evaluated, and improve outcomes. Its mission is to harness the power of artificial intelligence, help radiologists and clinicians in detecting pancreatic cancer when it could have otherwise been missed. This is an innovative way of approaching what has been a challenge for many decades. Between Johns Hopkins Medicine, the Lustgarten Foundation, and Microsoft AI for Good, the FELIX 2.0 laboratory is pooling vast resources to improve how we do things, especially considering recent advancements in AI technology.
The position will include developing radiomics and deep learning models from contrast-enhanced computed tomography images to improve the early detection of pancreatic tumors and improve patient management. Different machine-learning approaches will be compared, and models validated on data prospectively collected. The position will include working with internal and external databases. The candidate will contribute to coordinating expert interpretation and manuscript writing under supervision.
Specific Duties/Responsibilities:
  • Data Curation: Collect and organize datasets along with relevant clinical information to support and drive research studies
  • Radiomics Pipeline Development: Design and optimize robust radiomics pipelines for characterization of CT images.
  • Machine and Deep learning: Develop and implement machine learning and deep learning algorithms to built detection and prediction models for CT images
  • Performance Evaluation: Conduct rigorous statistical analyses to benchmark and compare the performance of diverse approaches.
  • Model Assessment and Deployment: Evaluate model limitations and implement new approaches for deploying models, enhancing their generalizability and real-world applicability.
  • Communication and Reporting: Prepare reports and study findings to present to PI.
  • Manuscript Preparation: Author high-quality research manuscripts for publication in peer-reviewed journals.

Special knowledge, skills & abilities:
  • Proficiency in programming language such as Python, C++, R and MATLAB.
  • Strong theoretical understanding and practical experience in deep learning-based machine learning or natural language processing.
  • Strong background in statistical modeling.
  • Strong scientific writing skills.
  • Expertise in medical imaging processing or previous work in collaboration with healthcare professionals will be a plus.

Qualifications
  • Master or Ph.D. in computer science, biomedical engineering, or a related field.
  • One year of experience with machine leaning, deep learning and data analysis.

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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