Data Scientist
4 weeks ago
The Data Scientist - Operations Researcher position at MD Anderson Cancer Center plays a critical role in driving operational innovation through the development of advanced automated solutions that enhance patient access, quality of care, and safety.
In collaboration with physicians, nurses, and administrative staff, the Data Scientist will be responsible for developing and evaluating mathematical / statistical / computational techniques to analyze complex problems and promote data-driven decision making to improve the safety, quality, efficiency, and value across clinical operations.
Primary areas of impact include, but are not limited to, surgery, chemotherapy, outpatient, and inpatient care services.
Key Responsibilities- Develop algorithms and mathematical models to support decision making in clinical operations.
- Collaborate and consult with clinical staff in defining, analyzing, and resolving analytical problems.
- Design, develop and implement algorithms and software.
- Develop key model performance metrics.
- Design and implement experiments to test hypotheses and validate models.
- Analyze and interpret large datasets to identify trends and patterns.
- Develop and implement machine learning algorithms to automate processes and improve decision-making.
- Coordinate the creation of robust, user-friendly software tools that can be deployed in a clinical setting.
- Work with end users to gather initial requirements, including clinicians, nurses, administrators, and other stakeholders.
- Work with other data scientists in multidisciplinary research related to systems engineering, technology development, and data-intensive methods applied to surgery, interventional radiology, and diagnostic imaging.
- Provide support for existing software systems as they evolve.
- Keep up to date with the latest developments in operations research and optimization techniques.
- Communicate with other team members as well as research and clinical stakeholders throughout the institution to share information and best practices.
- Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
- Three years experience in scientific software or industry development/analysis. With Master's degree, one years experience required. With PhD, no experience required.
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