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Über
Develop, test, and maintain data pipelines for clinical research and quality improvement projects Support cancer informatics projects involving machine learning and structured extraction from unstructured clinical data Generate reproducible analyses and visualizations to communicate findings to stakeholders
Required qualifications
Bachelor's Degree in Computer Science, Informatics, Statistics, Engineering, Data Science, or related field; Master's Degree preferred Minimum of two years of experience in quantitative data analysis, preferably with clinical data and machine learning Expertise in SQL databases and programming languages such as Python or R Deep understanding of statistical modeling concepts and machine-learning approaches Demonstrated experience building or implementing data science workflows, particularly in healthcare contexts
Sprachkenntnisse
- English
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