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Medical Imaging Machine Learning Faculty Jobs (NOW HIRING)

Duke University

Postdoctoral Associate

Durham, NC · On-site

Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more ... Familiarity with machine learning applications in medical imaging. * Experience working with ...

Natera

Machine Learning Scientist, Multimodal AI

OR · On-site +1

Core experience developing machine learning models for biomedical applications, specifically in medical imaging, computational pathology, genomics, transcriptomics, multi-omics, or molecular ...

Natera

Machine Learning Scientist, Multimodal AI

$124K - $171K/yr

Core experience developing machine learning models for biomedical applications, specifically in medical imaging, computational pathology, genomics, transcriptomics, multi-omics, or molecular ...

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Medical Imaging Machine Learning Faculty information

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How much do medical imaging machine learning faculty jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for medical imaging machine learning faculty in the United States is $32.41, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $39.42 per hour, depending on experience, location, and employer.

What is a medical imaging machine learning faculty?

Medical Imaging Machine Learning Faculty are academic professionals who teach, conduct research, and contribute to the advancement of machine learning techniques applied to medical imaging. They typically work in universities or research institutions, mentoring students and collaborating on interdisciplinary projects involving radiology, computer science, and healthcare. Their responsibilities include publishing research, securing grants, and developing innovative machine learning algorithms to improve diagnosis and treatment using medical images. These faculty members play a critical role in bridging the gap between artificial intelligence and clinical practice.

What are the key skills and qualifications needed to thrive as a medical imaging machine learning faculty?

To thrive as a Medical Imaging Machine Learning Faculty, you need a strong background in machine learning, computer vision, medical imaging, and a doctoral degree in a relevant field such as computer science, biomedical engineering, or a related discipline. Expertise with programming languages (like Python), deep learning frameworks (such as TensorFlow or PyTorch), and experience with medical imaging datasets and analysis tools are typically required. Excellent communication, collaboration, and mentoring abilities are crucial for teaching, research, and fostering interdisciplinary partnerships. These skills ensure effective research output, high-quality instruction, and innovation in advancing medical imaging technologies.

What are some common challenges faced by medical imaging machine learning faculty in balancing research, teaching, and clinical collaboration responsibilities?

Medical Imaging Machine Learning Faculty often juggle multiple responsibilities, including leading research projects, teaching graduate or undergraduate courses, and collaborating with clinical teams. A common challenge is effectively managing time between these areas, as each requires significant dedication and expertise. Balancing the fast-paced advancements in machine learning with the rigorous demands of academic publishing and curriculum development can also be demanding. Success in this role often depends on strong organizational skills, effective communication with multidisciplinary teams, and the ability to prioritize tasks to meet both academic and clinical goals.

What is the difference between Medical Imaging Machine Learning Faculty vs Medical Imaging Technologist?

AspectMedical Imaging Machine Learning FacultyMedical Imaging Technologist
CredentialsAdvanced degrees (PhD, Master's) in machine learning, medical imaging, or related fieldsAssociate's or Bachelor's degree in radiologic technology or related field
Work EnvironmentAcademic institutions, research labs, universitiesHospitals, clinics, imaging centers
Industry UsageResearch, teaching, development of new imaging algorithmsPerforming imaging procedures, patient positioning, image acquisition
Search & Comparison IntentResearch, academic careers, specialized roles in medical imaging AIClinical practice, patient care, imaging operations

Medical Imaging Machine Learning Faculty focus on research, teaching, and developing AI algorithms in medical imaging within academic or research settings. In contrast, Medical Imaging Technologists perform hands-on imaging procedures in clinical environments. While both roles involve medical imaging, their credentials, work environments, and job functions differ significantly.

What are popular job titles related to Medical Imaging Machine Learning Faculty jobs?

For Medical Imaging Machine Learning Faculty jobs, the most frequently searched job titles are:

Infographic showing various Medical Imaging Machine Learning Faculty job openings in the United States as of September 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $67,420 per year, or $32.4 per hour.

Postdoctoral Associate

Durham, NC • On-site

Duke University
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about Duke Universityexternal

Full-time

Re-posted 12 days ago

Duke University rating

6.7

Company rating: 6.7 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

492nd of 633 rated colleges and universities

Job description

School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke University School of Medicine along with the Duke University School of Nursing, and Duke University Health System comprise Duke Health, a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations.
Be You. Be Bold. Choose Duke. Postdoctoral Associate, Diagnostic Imaging & Machine Learning
Be You.
At Duke, we celebrate individuality and the unique perspectives that each member of our community brings. As a Postdoctoral Associate in Diagnostic Imaging & Machine Learning, you will join an innovative research team dedicated to advancing next-generation medical imaging technologies. Your expertise in software development, machine learning, and imaging systems will help drive groundbreaking discoveries that improve healthcare and patient outcomes.
Working alongside faculty, researchers, engineers, and clinicians, you will play a critical role in shaping the future of diagnostic imaging through interdisciplinary collaboration and technical innovation.
Be Bold.
This is an exciting opportunity to contribute to cutting-edge research at the intersection of machine learning, medical imaging, and software engineering. You will help develop advanced imaging solutions while building tools and technologies that support scientific discovery and clinical translation.
What You'll Do:
  • Advance the laboratory's diagnostic imaging research initiatives, with a strong emphasis on integrating machine learning methodologies into imaging workflows.
  • Design, develop, and optimize algorithms and software solutions that support imaging research and innovation.
  • Develop, maintain, and enhance software control systems and user interfaces for custom-built imaging devices.
  • Collaborate with multidisciplinary teams of researchers, engineers, and clinicians to translate research concepts into practical imaging applications.
  • Support software project planning, execution, documentation, and lifecycle management activities.
  • Contribute to the evaluation, testing, and validation of imaging technologies and software systems.
  • Assist in preparing research findings for publications, presentations, grant proposals, and scientific dissemination activities.
  • Stay current with emerging technologies and best practices in machine learning, software engineering, and medical imaging.
What You'll Bring:
  • Ph.D. in Biomedical Engineering, Computer Science, Electrical Engineering, Medical Physics, Imaging Sciences, or a related field.
  • Demonstrated experience with Python and C++ software development.
  • Experience managing software development projects and collaborating within research or technical teams.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work independently while contributing effectively within a collaborative environment.
Preferred Qualifications:
  • Experience developing medical diagnostic imaging devices or related healthcare technologies.
  • Familiarity with machine learning applications in medical imaging.
  • Experience working with hardware-software integration and custom instrumentation.
  • Knowledge of research computing, image processing, and data analysis methodologies.
Choose Duke.
At Duke, you'll find more than a job. You'll discover a community of innovators, researchers, and professionals committed to improving lives through education, research, and healthcare. We foster an environment where curiosity is encouraged, collaboration is valued, and bold ideas are transformed into meaningful impact.
Whether you're advancing transformative technologies, pioneering new research discoveries, or mentoring the next generation of scientists, you'll have the opportunity to make a lasting difference while growing your career at one of the world's leading research institutions.

Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status.


Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.


Essential Physical Job Functions:

Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.


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About Duke University

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Duke is regarded as one of America's leading research universities. Located in Durham, North Carolina, Duke is positioned in the heart of the Research Triangle, which is ranked annually as one of the best places in the country to work and live. Duke has more than 15,000 students who study and conduct research in its 10 undergraduate, graduate, and professional schools. With about 40,000 employees, Duke is the third largest private employer in North Carolina, and it now has international programs in more than 150 countries.

Industry

Colleges, universities, and professional schools and hospitals

Company size

10,000+ Employees

Headquarters location

Durham, NC, US

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