Responsibilities include applying statistical analysis, data mining, and machine learning techniques to address operational needs, and developing, validating, and deploying predictive, descriptive, and diagnostic models to support program objectives. The role also involves performing exploratory data analysis and collaborating with data engineering teams to define data requirements and analytic pipelines.

The Data Scientist will create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources and refine data manipulation through efficient data structure design. They will also dissect and document vast datasets, analyze them to highlight patterns, and solve complex challenges by developing impactful algorithms.

Senior Clinical Data Manager designing and executing clinical evidence studies for cancer care

The Associate Director/Director Biostatistician will provide strategic and technical leadership for statistical activities across multiple clinical trials, leading the development and review of key statistical deliverables like protocols, SAPs, and regulatory submission materials. This role involves serving as the key statistical representative in cross-functional meetings while ensuring all statistical approaches adhere to regulatory standards and best practices.