Major accountabilities:

• Under guidance of their supervisors and team members and gradually more independently -Translate business questions into analytical problems and build solutions using visualization techniques, machine and deep learning, and statistical modeling -Search and develop data management techniques, new algorithms, methods, statistical models and business models, providing insight into structured and unstructured data.
• Quickly learns and pilots the use of tools, data sources and analytical techniques needed to answer wide range of critical business questions and to improve status quo -Identifies research articles and reproduce /apply innovative methodology to Novartis business problems -Provide understandable and actionable business intelligence for key stakeholders.
• Brings understanding of one or more areas of data sciences and is able to demonstrate practical knowledge of techniques -Helps developing new quantitative methods with the aim of improving processes in various projects and developing new analysis opportunities by integrating existing and new data sources -Support various projects, of limited scope.
• Reporting of technical complaints / adverse events / special case scenarios related to Novartis products within 24 hours of receipt -Distribution of marketing samples (where applicable)

Key performance indicators:

• Successful implementation based on KPI’s and data management, advanced analytics program objectives

Minimum Requirements:

Work Experience:

• In-depth mastery of external environment and trends.
• Has a strong professional network across Academia.
• 0-2 years of relevant experience in Data Science.
• Track record delivering global solutions at scale.

Skills:

• Biostatistics.
• Computer Programming.
• Data Analysis.
• Data Management.
• Data Mining.
• Data Quality.
• Data Visualization.
• Databases.
• Deep Learning.
• Graph Algorithms.
• High-Performance Computing.
• Logistic Regression Model.
• Machine Learning (Ml).
• Master Data Management.
• Pandas (Python).
• Python (Programming Language).
• R (Programming Language).
• Random Forest Algorithm.
• Sql (Structured Query Language).
• Statistical Modeling.
• Time Series Analysis.

Languages :

• English.

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture

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