Postdoctoral Fellow

University of Texas MD Anderson Cancer Center
Houston, Texas
Closing date
Apr 1, 2023

View more

Health Sciences
Organization Type

Job Details

We seek a driven and technically adept Postdoctoral Fellow to develop and deploy innovative approaches for integrative analyses of multi-platform cancer data toward the identification of new therapeutic leads and biomarkers. The primary research focus is to apply cutting-edge data science, machine learning, and bioinformatic methods to integrate rich datasets of patient samples across platforms and time points. These efforts will determine the impact of treatments from multi-platform profiling and connect them to patient outcomes in order to inform clinical understanding here at MD Anderson and pave the way for new therapeutic strategies.

Develop innovative methods to advance integrated analysis of multi-platform biological datasets. Build interpretable models to determine the mechanisms underlying the contributions of treatments to patient outcomes.

Individuals with a PhD degree in computer science, engineering, or the natural sciences are encouraged to apply. A strong computational background is required, including proficiency in Python, R, and UNIX. Familiarity with the analysis of -omics data is essential, and prior experience in cancer biology would be preferred. Excellent communication skills, both written and verbal, and the ability to work in a multidisciplinary team are essential in this role.


The University of Texas MD Anderson Cancer Center in Houston is one of the world's most respected centers focused on cancer patient care, research, education and prevention. It was named the nation's No. 1 hospital for cancer care in U.S. News & World Report's 2023 rankings. It is one of the nation's original three comprehensive cancer centers designated by the National Cancer Institute.

Get job alerts

Create a job alert and receive personalized job recommendations straight to your inbox.

Create alert