The University of Texas MD Anderson Cancer Center is looking to solve the problem of advancing data science and emerging medical technologies to improve clinical care and operational excellence in the field of oncology.
Requirements
- Python, MATLAB, C++, CUDA, Julia, R, and/or SQL
- Neural network design and implementation
- Computer vision and image analysis
- Applied statistics and data modeling
- SciPy, pandas, statsmodels
- OpenCV, XGBoost
- PyTorch and/or TensorFlow
Responsibilities
- Develop and apply advanced machine learning, deep learning, computer vision, and statistical modeling techniques.
- Conduct multidimensional data analyses, including medical image data, clinical data, and outcomes.
- Contribute to predictive modeling, decision-support tools, and data-driven clinical insights.
- Collaborate with a multidisciplinary team across surgery, physics, engineering, and data science.
- Support research translation into clinical workflows and operational improvement initiatives.
- Multidimensional data analysis (including medical imaging)
- Predictive modeling
Other
- Bachelor's Degree 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.
- 1 year Required experience with Master's degree.
- With PhD, no experience required.
- 100% onsite
