Data Scientist - GU Radiation Oncology - Research

Data Scientist

The University of Texas MD Anderson Cancer Center is dedicated to eliminating cancer through exceptional patient care, groundbreaking research, prevention programs, and education. Within the Radiation Oncology Division, the Data Scientist role supports innovative efforts focused on advancing clinical, operational, and scientific initiatives through data-driven solutions and technological innovation.

The Data Scientist will contribute to the development of algorithms, software tools, and artificial intelligence and machine learning solutions that support complex healthcare and research challenges. The Data Scientist works collaboratively with multidisciplinary teams to transform data into actionable insights while supporting the mission of UT MD Anderson. The Data Scientist role offers the opportunity to apply advanced analytical skills in a world-renowned oncology environment.

The ideal candidate will possess a strong foundation in data science, analytics, software development, artificial intelligence, and machine learning, with the ability to support clinical, operational, and scientific projects. Education, experience, and licensure preferences were not provided; therefore, candidates should demonstrate relevant technical expertise, analytical problem-solving capabilities, effective communication skills, and the ability to work collaboratively in multidisciplinary environments.

Salary Range (40-hour work week): Minimum $51.20/hour - Midpoint $63.94/hour - Maximum $76.68/hour

Why Us?

At UT MD Anderson, the Data Scientist plays a critical role in advancing cancer research, patient care, and operational excellence through innovative data analytics, software development, and artificial intelligence solutions. This position provides opportunities to collaborate with leading clinicians, researchers, and technical experts while contributing to meaningful work that supports the institution's mi