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About
Serve as technical lead for advanced analytics, predictive modeling, and machine learning initiatives Design and validate algorithms for interoperability workflows and clinical informatics systems Present analytical outcomes to stakeholders and collaborate with cross-functional teams to align data strategies
Required Qualifications
Master's degree in data science, computer science, health informatics, statistics, or a related field Minimum of 10 years of experience in data analysis or advanced analytics Minimum of 5 years of experience in machine learning and predictive modeling in healthcare or federal health IT environments Demonstrated expertise in interoperability standards and clinical terminology Experience with programming languages such as SQL, Python, and R
Languages
- English
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