What you’ll bring to the role:
•Degree in Mathematics, Statistics, Computer Science, Physics or in a quantitative field
•Academic experience in a multidisciplinary data & analytics environment or in research
•Experience in predictive modelling and large data analysis
•Experience in statistical/analytics tools such as R, SAS, Python or big data technologies for machine learning
•Expertise in at least a visualization tools QlikView, Spotfire, Tableau for crafting insights.
•A track record of innovating through machine learning, data bases and statistical algorithms and their applications. Hands on experience with data mining, its concepts, techniques and implementation.
•Fluent English (written and verbal)
•Business proficient in Spanish (written and spoken)
Why consider Novartis?
799 million. That’s how many lives our products touched in 2019. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives?
We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you’re given opportunities to explore the power of digital and data. Where you’re empowered to risk failure by taking smart risks, and where you’re surrounded by people who share your determination to tackle the world’s toughest medical challenges.
Imagine what you could do at Novartis!
Commitment to Diversity & Inclusion:
Novartis embraces diversity, equal opportunity and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration, and empowers our people to unleash their full potential.
Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network