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The Senior Data Scientist will work within the Quantitative Science Pillar within the Stanley Manne Children's Research Institute to conceive, propose, perform and evaluate exploratory data analysis and predictive modeling in pediatric biomedical research using machine learning, statistical, and mathematical analysis incorporating heterogeneous and complex data types. The successful candidate will combine broad technical and analytical skills with a strong track record of working both independently and in multidisciplinary collaborative teams to produce valuable insights from large datasets. A creative and flexible approach to problem-solving should be combined with a disciplined approach to maintaining the highest standards of data validation and governance with faithful application of development best practices.