The Senior Data Scientist will support clinical correlation data modeling, which includes working with data engineers to assess data quality of incoming assay and clinical data, developing bootstraps across different assay versions, engineering features to feed modeling, evaluating different types of modeling approaches, training unsupervised and supervised data models and reporting performance, assimilating, summarizing, and visualizing results, and presenting results to Commercial, RD and Scientific Communications stakeholders. Master's (+5 years experience) or PhD (+2 years experience) in Data Science, Biostatistics, Bioinformatics, Biomedical Engineering or related field Strong background in quantitative analysis and statistics 1-3 years experience analyzing biomedical datasets is preferred Experience programming in Python is preferred Knowledge of machine learning, data science, data mining, data querying, statistics, signal processing, image processing, etc.