Principal Data Scientist - Leukemia

About the role

The University of Texas MD Anderson Cancer Center is a leading institution focused on cancer care, research, education, and prevention. The Leukemia Department is dedicated to advancing the understanding, diagnosis, and treatment of hematologic malignancies through innovative clinical care, translational research, and data-driven scientific discovery. The Principal Data Scientist will play a critical role in supporting the department's mission by developing advanced computational solutions that accelerate leukemia research and improve patient outcomes. Within the Leukemia Department, the Principal Data Scientist will lead the design and implementation of sophisticated data science initiatives involving complex medical datasets. The Principal Data Scientist will collaborate with faculty, researchers, clinicians, and industry partners to develop innovative analytical tools and software solutions. The Principal Data Scientist will also provide technical leadership for research programs, strengthen data science infrastructure, and drive insight generation across leukemia-focused projects.

Responsibilities

• Lead the design, analysis, and development of algorithms and software for complex applications in medical data
• Oversee the maintenance of software tools and deployments for solving specific problems
• Lead the development, testing, and revision of computer programs
• Direct and consult with users and other personnel in analyzing, defining, and resolving computational problems
• Manage research projects involving data science methods under the direction of a faculty member or designee
• Develop tools for automation and insight extraction
• Communicate and collaborate with industry partners to improve data science infrastructure
• Provide technical leadership for leukemia-focused data science and computational research initiatives

Qualifications

• The ideal candidate will possess extensive experience leading data science and software development initiatives within academic medicine, healthcare, or biomedical research environments.
• Preference will be given to candidates with prior work experience at UT MD Anderson.
• Preference will be given to candidates with experience supporting leukemia-focused research programs.
• Preference will be given to candidates with expertise in developing automation and insight extraction tools.
• Preference will be given to candidates with a demonstrated history of collaborating with research and industry partners to advance computational infrastructure.
• Required: Bachelor's Degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
• Preferred: Master's Degree with concentration in Science, Engineering or related field.
• Preferred: PhD with concentration in Science, Engineering or related field.
• Required: Seven years experience in scientific software or industry programming with a concentration in scientific computing OR five years required experience with a Master's degree OR three years required experience with a PhD.

Benefits

• Employer-paid medical coverage starting day one for employees working 3