Summary

The Department of Radiation Oncology at BCM is in search of a Postdoc with a strong medical background, specializing in imaging segmentation,database building, and sound statistical analysis. The ideal candidate will join our team to utilize artificial intelligence in enhancing radiationtherapy techniques, with a focus on outcomes prediction and adaptive radiation applications.

Job Duties

• Medical Imaging and Segmentation:
  • Applies expertise in medical imaging to segment, labels, and curates datasets specifically for radiation treatment planning.
  • Collaborates with radiologists and oncologists to ensure the accuracy and clinical relevance of image segmentation.
• Database Building:
  • Leads the creation and maintenance of comprehensive databases related to radiation treatments.
  • Ensures the consistency, quality, and security of stored medical data.
• Statistical Analysis:
  • Performs robust statistical analyses on collected data to derive meaningful conclusions and inform AI model development.
  • Collaborates with data scientists to refine analytical methods and interpret results.
• Collaborative Research:
  • Engages in multidisciplinary research projects, co-authors publications, and presents findings at medical and technical conferences.
  • Fosters collaborations with researchers from various departments and external institutions.
• Continuous Learning & Training:
  • Remains updated with the latest advancements in medical imaging, database management, and radiation oncology.
  • Offers training sessions and workshops to departmental staff on best practices in imaging segmentation and statistical analysis.
• Safety & Compliance:
  • Upholds BCM regulations and guidelines, ensuring all research methodologies adhere to medical and ethical standards.
  • Collaborates with the BCM Institutional Review Board, maintaining rigorous patient data privacy protocols.

Minimum Qualifications

• MD or Ph.D. in Basic Science, Health Science, or a related field.
• No experience required.

Preferred Qualifications

• Demonstrated expertise in medical imaging segmentation and database building.
• Strong proficiency in statistical analysis tools such as R, MATLAB, or Python.
• Experience with medical imaging data formats (DICOM, NIfTI) and associated software applications. Prior exposure to the challenges and intricacies of radiation oncology.
• Ability to communicate complex technical details effectively to a diverse audience.
• Experience in working with multi-institutional datasets and cloud computing platforms.