Project manage own tasks and works with allied team members; plans proactively, anticipates and actively manages change, sets stakeholder expectations as required, identifies operational risks and drives issues to resolution, minimizes surprise partner concerns, with initial support from supervisors
Collaborate with internal stakeholders, external partners and cross-functional teams to solve critical business problems -Understand life science data sources including preclinical, clinical, sales, contracting, promotions, social media, patient claims and Real World Evidence -Research and co-develop with supervisor in data management, new algorithms, methods, statistical models and business models and providing insight into structured and unstructured data, -Quickly learn the use of tools, data sources and analytical techniques needed to answer a wide range of critical business questions
Support the evaluation of the need of technology and novel scientific software, visualization tools and innovative approaches to computation to increase efficiency and quality of the Novartis practices -Independently identifies research articles and propose them for application to Novartis business problems -Develop automation for data management, repeatedly refreshing analysis and generating insights -Articulates solutions /recommendations to business users.
Works with senior data science team member to present analytical content concisely and effectively -Ability to provide understandable and actionable business intelligence for key stakeholders -May lead a small team or in-depth technical expertise in a scientific / technical field depending upon the career path (Manager/Individual contributor)
Reporting of technical complaints / adverse events / special case scenarios related to Novartis products within 24 hours of receipt -Distribution of marketing samples (where applicable)
