Postdoc: GI Radiation Oncology-Imaging & Devices

University of Texas MD Anderson Cancer Center; Houston (TX); On-site; USD 64,000 - 76,000; Full time

Benefits offered by this job

Medical

Dental

Paid time off

Retirement

Tuition benefits

Educational opportunities

Individual and team recognition

Job summary

The University of Texas MD Anderson Cancer Center in Houston, TX invites applications for a postdoctoral fellow in the GI Radiation Oncology laboratory. This role focuses on developing devices to improve safety of ablative treatments and exploring cancer signatures via imaging or mechanical testing.

The position emphasizes independent, publishable research, training in advanced coding, machine learning, 3D printing, and statistical analysis, with opportunities for national conference

Qualifications

• The appointee recently (within three years) completed their education (doctorate) or completed previous postdoctoral experience or graduate medical education
• The appointment is temporary
• The appointment involves substantial full-time research or scholarship
• The appointment is viewed as preparatory for a full-time academic and/or research career
• The appointment is not part of a clinical training program
• The appointee works under the supervision of a senior scholar or a department in a university or similar research institution (e.g., national laboratory, NIH, etc.)
• The appointee has the freedom to and is expected to publish the results of his or her research or scholarship during the period of the appointment
• Postdoctoral fellowships are designed to provide intensive laboratory-based research experiences that produce independent investigators. Appointees holding an M.D. degree or equivalent are not permitted to engage in patient care activity.

Job description

The University of Texas MD Anderson Cancer Center in Houston, TX invites applications for a postdoctoral fellow in the GI Radiation Oncology laboratory. This role focuses on developing devices to improve safety of ablative treatments and exploring cancer signatures via imaging or mechanical testing.

The position emphasizes independent, publishable research, training in advanced coding, machine learning, 3D printing, and statistical analysis, with opportunities for national conference