Postdoctoral Fellow

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.

LEARNING OBJECTIVES
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.

ELIGIBILITY REQUIREMENTS
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.