Postdoctoral Fellow - Neuro-Oncology - Research

A visiting postdoctoral fellowship in Neuro-Oncology focused on collaborative research applying machine learning and artificial intelligence to biomedical and clinical data. The appointment will also provide exposure to Neuro-Oncology clinical workflows through observational clinic rotations.

All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.

Develop and evaluate computational methods for biomedical and clinical data analysis; collaborate with multidisciplinary investigators; contribute to manuscripts and presentations; and gain an understanding of clinical needs through clinic shadowing two days per week over a one-year period.

A doctoral degree and relevant research experience in biomedical or computational disciplines, with an interest in clinical AI and multidisciplinary collaboration.

MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000 depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition.

Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.

This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.

It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law.

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