Postdoctoral Fellow - Abdominal Imaging Artificial Intelligence

at  MD Anderson Cancer Center

We are seeking a computer science/bioinformatics postdoctoral fellow to work in Dr. Garg’s lab (Garg lab), in the Department of Abdominal Imaging at MD Anderson Cancer Center. This position will conduct research to improve the practice of radiology with applications in cancer imaging. We are interested in computer applications to radiology, particularly using deep learning.
The project(s) involve analysis of CT, MRI, PET scan data from cancer patients to automate detection and quantification of tumor burden in cancer patients. We have hand labeled data in the form of DICOM grayscale presentation states for various cancer types (colorectal, lymphoma, breast cancers), with metastases to various organs including liver, bone & peritoneum. We work on learning from this data and further refining / curating the data using trained AI models.

ELIGIBILITY REQUIREMENTS

The ideal candidate will have recently (within three years) been awarded a Ph.D. or equivalent doctorate (e.g., Sc.D., M.D., D.V.M.) in an appropriate field (Computer science or bioinformatics). Expertise or skills in the following areas are highly desirable: PyTorch, scikit-image, scikit-learn, Sql, linux, pydicom. We are looking for an outstanding researcher with high motivation, ability to work collaboratively and independently, and a strong commitment to working on the projects.

POSITION INFORMATION

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. MD Anderson trainee compensation also includes:
Paid medical benefits (zero premium) starting on the first day for trainees who work 30 or more hours per week
Group dental, vision, life, AD&D, and disability coverage
Paid education, vacation, and sick leave
Paid institutional holidays, wellness leave, childcare leave, and other paid leave programs
Teachers Retirement System defined-benefit pension plan and two voluntary retirement plans
Employer-paid life, AD&D, and an illness-related reduced salary pay program
Health Savings Account and Dependent Care Reimbursement flexible spending accounts
Fertility benefits
State of Texas longevity pay
Extensive wellness, fitness, employee health programs, and employee resource groups12/31/2024
We are seeking a computer science/bioinformatics postdoctoral fellow to work in Dr. Garg’s lab (Garg lab), in the Department of Abdominal Imaging at MD Anderson Cancer Center. This position will conduct research to improve the practice of radiology with applications in cancer imaging. We are interested in computer applications to radiology, particularly using deep learning.
The project(s) involve analysis of CT, MRI, PET scan data from cancer patients to automate detection and quantification of tumor burden in cancer patients. We have hand labeled data in the form of DICOM grayscale presentation states for various cancer types (colorectal, lymphoma, breast cancers), with metastases to various organs including liver, bone & peritoneum. We work on learning from this data and further refining / curating the data using trained AI models.

ELIGIBILITY REQUIREMENTS

The ideal candidate will have recently (within three years) been awarded a Ph.D. or equivalent doctorate (e.g., Sc.D., M.D., D.V.M.) in an appropriate field (Computer science or bioinformatics). Expertise or skills in the following areas are highly desirable: PyTorch, scikit-image, scikit-learn, Sql, linux, pydicom. We are looking for an outstanding researcher with high motivation, ability to work collaboratively and independently, and a strong commitment to working on the projects.

Please refer the Job description for details