Principal Data Scientist - Leukemia

The Principal Data Scientist role in the Leukemia Department at MD Anderson focuses on leading advanced data science initiatives that rely on complex medical datasets. The position combines technical leadership, algorithm and software development, and close collaboration with faculty, researchers, clinicians, and industry partners to support leukemia research and patient outcomes.

Location and Employment

• Location: Houston, TX (onsite)
• Employment Status: Full-Time
• Employee Status: Regular
• Work Location: Onsite
• Work Week: Days, Weekends
• FLSA: Exempt and not eligible for overtime pay

Salary and Position Details

• Hourly salary range: USD 70 - 105 per hourly
• Minimum salary: USD 146,500
• Midpoint salary: USD 183,000
• Maximum salary: USD 219,500
• Requisition ID: 183478
• Fund Type: Soft
• Pivotal Position: Yes
• Relocation assistance: Yes
• Referral bonus available: No

Responsibilities

• Lead the design, analysis, and development of algorithms and software for complex applications in medical data
• Oversee maintenance of software tools and deployments used to solve specific problems
• Lead development, testing, and revision of computer programs
• Direct and consult with users and other personnel to analyze, define, and resolve computational problems
• Manage research projects involving data science methods under 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

Requirements

• 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 a concentration in Science, Engineering, or related field
• Preferred: PhD with a concentration in Science, Engineering, or related field

Work Experience

• Required: Seven years of experience in scientific software or industry programming with a concentration in scientific computing
• Required alternative: Five years of required experience with a Master’s degree
• Required alternative: Three years of required experience with a PhD

Benefits

• Employer-paid medical coverage starting day one for employees working 30+ hours/week
• Optional group dental, vision, life, AD&D, and disability insurance
• Accruals for PTO and Extended Illness Bank, plus paid holidays, wellness, childcare, and other leave options
• Tuition Assistance Program after six months of service
• Access to extensive wellness, fitness, and employee resource groups
• Defined-benefit pension through the Teachers Retirement System
• Voluntary retirement plans
• Employer-paid life and reduced salary protection programs

Additional Position Information

• This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 11
• Satisfying and maintaining all requirements necessary to ensure continued security and integrity of such infrastructure is a condition of hire and continued employment

Education

• 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 concentration in Science, Engineering or related field
• Preferred: PhD concentration in Science, Engineering or related field

Why UT MD Anderson

UT MD Anderson offers the opportunity to apply advanced data science expertise to complex challenges in leukemia research and cancer care. The role supports leading innovative research initiatives, collaborating with renowned faculty and multidisciplinary teams, contributing to transformative discoveries, and building a career within a mission-driven organization that emphasizes professional development and work-life balance.