Data Scientist - GU Radiation Oncology - Research
About The Position
The Data Scientist role within the Radiation Oncology Division at The University of Texas MD Anderson Cancer Center 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. This 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. Candidates should demonstrate relevant technical expertise, analytical problem-solving capabilities, effective communication skills, and the ability to work collaboratively in multidisciplinary environments.
Requirements
- Bachelor's Degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
- 3 years Scientific software or industry development/analysis experience.
- Required: 1 year Required experience with Master's degree.
- With PhD, no experience required.
Nice To Haves
- Master's Degree in Science, Engineering or related field.
- PhD in Science, Engineering or related field.
Responsibilities
- Analyze complex clinical, operational, and scientific problems through data collection, interpretation, and modeling.
- Collaborate with multidisciplinary teams to define problem statements, establish success metrics, and develop solution strategies.
- Design algorithms to address specialized technical challenges.
- Develop software tools that support clinical, operational, and scientific objectives.
- Test and maintain algorithms and software solutions to ensure performance and reliability.
- Build and develop AI and machine learning models using supervised, unsupervised, deep learning, and generative approaches.
- Build end-to-end data science and machine learning pipelines.
- Perform data ingestion activities to support analytical workflows.
- Execute data preprocessing and feature engineering processes.
- Train, evaluate, deploy, and monitor machine learning models.
- Advise stakeholders on technical issues and analytical solutions.
- Assist teams in analyzing and resolving complex technical challenges.
- Communicate model outputs, insights, and system behavior to technical audiences.
- Translate analytical findings and technical concepts for non-technical audiences.
- Demonstrate active listening and consideration of differing perspectives.
- Communicate ideas clearly and concisely through verbal and written communication.
- Maintain current technical and functional knowledge.
- Promote a safe working environment and support equipment safety preparedness.
- Assist with orientation and adoption of new equipment when applicable.
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
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
