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Translate business questions into analytical problems, develop new algorithms and statistical models, provide business intelligence, support data projects, collaborate with teams, and innovate through data science techniques.

Responsible for performing activities related to risk and compliance operations, project coordination, compliance guidelines, and ensuring quality control for projects. Manages day-to-day deliverables, facilitates change via technology, monitors progress, and mentors a team of associates.

The Functional Lead in Compliance Analytics and Reporting partners with various divisions to deliver Legal and Compliance Data Analytics solutions, integrating internal and external data to optimize risk management and ensure compliance. Responsibilities include conceptualizing analytical models, developing statistical insights, and contributing to the overall data strategy of the practice.

Design and create content for multiple brands in line with brand and customer experience strategies. Partner with market research team for testing and feedback. Deliver exceptional customer experience and maximize impact. Strong project management and communication skills required.

The ASCVD Product Manager is responsible for defining product strategy, implementing tactical plans, leading promotional activities, monitoring product performance, and collaborating with marketing and medical teams. Experience in leading brand strategy and execution is essential for this role.

As a Manager - Field Effectiveness, you will provide analytics support to internal customers, lead the delivery of multiple projects, and collaborate with cross-functional teams to drive process innovation. Responsibilities include project management, data analysis, and team leadership. Required skills include project management, incentive compensation design, analytics, and operations compliance.

The Senior Data Science Engineer at Novartis will be responsible for designing, developing, and maintaining the NGDx LIMS, pipeline framework, pipelines, and assays in the field of oncology research. The role involves working with real-world data, large research datasets, and supporting clinical trial teams.