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 radiation therapy techniques, with a focus on outcomes prediction and adaptive radiation applications.
Applies expertise in medical imaging to segment, label, and curate datasets specifically for radiation treatment planning.
Collaborates with radiologists and oncologists to ensure the accuracy and clinical relevance of image segmentation.
Leads the creation and maintenance of comprehensive databases related to radiation treatments.
Ensures the consistency, quality, and security of stored medical data.
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.
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.
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.
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.
MD or Ph.D. in Basic Science, Health Science, or a related field.
No experience required.
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.
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
Baylor College of Medicine fosters diversity among its students, trainees, faculty and staff as a prerequisite to accomplishing our institutional mission, and setting standards for excellence in training healthcare providers and biomedical scientists, promoting scientific innovation, and providing patient-centered care.
- Diversity, respect, and inclusiveness create an environment that is conducive to academic excellence, and strengthens our institution by increasing talent, encouraging creativity, and ensuring a broader perspective.
- Diversity helps position Baylor to reduce disparities in health and healthcare access and to better address the needs of the community we serve.
- Baylor is committed to recruiting and retaining outstanding students, trainees, faculty and staff from diverse backgrounds by providing a welcoming, supportive learning environment for all members of the Baylor community.