Postdoctoral Associate

Duke Careers • Durham, NC

2d • Onsite

About The Position

Duke University School of Medicine is seeking a Postdoctoral Associate to join an innovative research team dedicated to advancing next-generation medical imaging technologies. The role involves integrating software development, machine learning, and imaging systems to drive discoveries that improve healthcare and patient outcomes. The associate will work alongside faculty, researchers, engineers, and clinicians, contributing to the future of diagnostic imaging through interdisciplinary collaboration and technical innovation.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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 This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree