The role involves engaging in data analysis and contributing to client projects using Python and SQL. You will develop skills to deliver quality work, build client relationships, and utilize critical thinking to interpret data for insights. Responsibilities include embracing challenges, expanding technical knowledge, and understanding the evolving business context.

The Data Science Manager will lead the development lifecycle of AI/ML products, architect data solutions, engage with clients, and publish industry insights while managing a team of scientists and engineers. Responsibilities include tackling complex business problems, training new talent, and contributing to ZS firm strategies in AI.

The Clinical Data Specialist will interpret and organize clinical oncology data, manage real-world data deliverables, execute feasibility testing, develop data capture methods, and implement quality checks to ensure data integrity. The role requires collaboration with other teams to enhance data models and improve processes within the clinical data management space.