Summary

The Postdoctoral Research Fellow in the Department of Radiology at Baylor College of Medicine conducts advanced research in medical imaging, image analysis, and translational radiology sciences. This position involves designing and executing research studies, analyzing imaging data, and contributing to the development of innovative diagnostic and therapeutic technologies. The fellow collaborates with multidisciplinary teams including clinicians, physicists, and data scientists. The role also supports manuscript preparation, grant writing, and dissemination of research findings. This is a research-focused, grant-funded position with opportunities for career development in academic medicine or industry. The fellow is expected to contribute to high-impact publications and have opportunities to present at national and international conferences. The position fosters interdisciplinary collaboration within Baylor College of Medicine and affiliated institutions such as the Texas Medical Center.

Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.

Job Duties

• Designs and conducts independent and collaborative research projects in radiology that includes MRI, CT, ultrasound, or molecular imaging.
• Performs quantitative and qualitative analysis of imaging datasets using advanced computational tools and statistical methods.
• Develops and optimizes imaging protocols, algorithms, or AI/ML models for diagnostic or research applications.
• Assists with preparation of research manuscripts, abstracts, and grant proposals.
• Maintains accurate documentation of experimental procedures, data collection, and results.
• Participates in departmental meetings, seminars, and collaborative research discussions.
• Mentors graduate students, residents, or research assistants as needed.
• Conducts advanced research in radiology with a focus on medical imaging modalities (MRI, CT, PET, and ultrasound), including protocol development and optimization.
• Applies quantitative imaging techniques, image processing methods, and statistical analysis to support translational and clinical research initiatives.
• Develops and implements computational methods that includes machine learning and artificial intelligence algorithms, for image analysis, disease characterization, and outcome prediction.
• Collaborates closely with radiologists, clinicians, and multidisciplinary research teams to integrate imaging data with clinical, genomic, and pathology datasets.
• Utilizes PACS systems, imaging software (e.g., MATLAB, Python), and institutional research databases for data management, analysis, and visualization.
• Supports clinical research activities that includes preparation of IRB protocols, patient data collection, and adherence to regulatory and compliance standards (e.g., HIPAA).
• Contributes to the preparation of manuscripts, abstracts, and grant applications, ensuring timely dissemination of research findings.
• Participates in interdisciplinary research projects across specialties such as oncology, neurology, and related fields.
• Ensures compliance with institutional, federal, and ethical research guidelines.
• Performs other job-related duties as assigned.

Minimum Qualifications

• Doctor of Medicine (MD).
• No experience required.

Preferred Qualifications

• MD and PhD or equivalent doctoral degree in Radiology, Biomedical Engineering, Medical Physics.
• Experience with medical imaging modalities (MRI, CT, PET, ultrasound).
• Proficiency in programming (e.g., Python, MATLAB, R) and image analysis techniques.
• Familiarity with machine learning or artificial intelligence in healthcare applications is preferred.
• Strong publication record and experience in scientific writing.
• Excellent communication and collaboration skills.