Senior Manager Data Science

Major accountabilities:

• 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 escalations, 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 for technology and novel scientific software, visualization tools and new approaches to computation to increase the efficiency and quality of the Novartis practices
• Independently identifies research articles and proposes 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 members 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)
• Ensure a healthy and safe workplace by complying with Novartis HSE and ISEC standards, implementing measures, providing training and resources, supporting employee well-being, investigating incidents, and collaborating with HSE teams to maintain a safe environment while adhering to quality, ethical, health, safety, and environmental requirements

Key performance indicators:

• Achievement and governance endorsement of data management, advanced analytics program tollgates
• Successful implementation based on KPI’s and data management, advanced analytics program objectives

Minimum requirement: Work experience:

• 6+ years of relevant experience in Data Science

Skills:

• Artificial Intelligence (AI)
• Data governance
• Data literacy
• Data quality
• Data science
• Data Visualization
• Deep learning
• Machine Learning (ML)
• Machine Learning Algorithms
• NLP (Neuro-Linguistic Programming) and GenAI
• Statistical Analysis
• Time Series Analysis
• Python (Programming Language)
• R (Programming Language)
• SQL (Structured Query Language)
• Graph algorithms
• Logistic Regression Model
• Pandas (python)
• Biostatistics
• Change Management
• Stakeholder Engagement
• Learning Agility
• Curiosity

Language:

• English