Summary
About the Role
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 of technology and novel scientific software, visualization tools and new 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)
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 Requirements:
Work Experience:
- In-depth mastery of external environment and trends.
- 15+ years of relevant experience in Data Science.
- 2+ years of relevant experience in Data Science.
- Track record delivering global solutions at scale.
- Has a strong professional network across Academia.
Skills:
- Apache Hadoop.
- Applied Mathematics.
- Big Data.
- Curiosity.
- Data Governance.
- Data Literacy.
- Data Management.
- Data Quality.
- Data Science.
- Data Strategy.
- Data Visualization.
- Deep Learning.
- Machine Learning (Ml).
- Machine Learning Algorithms.
- Master Data Management.
- Proteomics.
- Python (Programming Language).
- R (Programming Language).
- Statistical Modeling.
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
Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network