Instructor of medical image analysis

Friday 3rd November 2023

Contact Email for the Job Posting
Organization MD Anderson Cancer Center
Location Houston
Title Instructor of medical image analysis
Closing date Feb 29, 2024

Description We are looking for computational researcher in the areas of medical image analysis and machine learning to join our research lab ( We have published original research in impactful journals, including Lancet Digital Health, Nature Machine Intelligence, Nature Communications, Radiology, Clinical Cancer Research, and Modern Pathology. The research themes are centered on
develop medical image models for cancer diagnosis, prognosis, and treatment selection
integrate images with molecular data to decipher biology mechanisms
We are looking for candidates who are enthusiastic about cancer research, self-motivated, and determined to kill cancer. Candidates from diverse backgrounds are encouraged to apply. This position requires skills in advanced image analysis (e.g., segmentation, registration, and feature extraction), machine learning, data science, and applied math. Top applicants are required to have dedicated training/ research in machine learning/deep learning, and proficiency in Python and MATLAB. The candidates must be fluent in written/spoken English and good at presenting research accomplishments.
We will offer meaningful projects at the forefront of cancer research, where the successful candidates will work in a highly collaborative and diverse, multidisciplinary team. They will have the opportunity to closely work with world-class physician-scientists, including Dr. John Heymach (, Dr. Joe Chang ( We are dedicated to maintaining a pleasant working environment, mentoring young trainees, and ensuring your career success.
Candidates should submit the following materials electronically to Dr. Jia Wu. Please email the following:
1. A current curriculum vitae.
2. Two publications.
3. The name and contact information of two references who are familiar with your work.
Review of applications will begin immediately and continue until the position is filled. This is an initially 1-year position that is extendable to 3 years, conditional on performance.