Sep 12, 2022

Job Description

6500! That’s the number of associates in the Novartis Institutes for BioMedical Research (NIBR). This division is the innovation engine of Novartis, focusing on powerful new technologies that have the potential to help produce therapeutic breakthroughs for patients.

As Senior Data Visualisation Engineer, you will be a member of our team which helps to understand complex and critical business problems then formulate integrated analytical approaches (mine data sources, employ statistical methods and machine learning algorithms) to contribute to solving unmet medical needs and discover actionable insights.
Your key responsibilities will include but are not limited to:
• Innovate by transforming the way to solve a problem using Data Science and Artificial Intelligence. Articulates solutions /recommendations to business users. Presents analytical content concisely and effectively to non-technical audiences and influences non-analytical business leaders to drive major strategic decisions basis analytical inputs
• Coordinates, prioritises and efficiently allocates the team resources to critical initiatives: plans resources proactively, anticipates and actively manages change, sets stakeholder expectations as required, identifies operational risks and enable the team to drives issues to resolution, balances multiple priorities and minimizes surprise escalations
• Collaborates with internal stakeholders, external partners and Institutions and cross-functional teams to solve critical business problems, propose operational efficiencies and innovative approaches.
• Proactively evaluates the need of technology and novel scientific software, visualisation tools and new approaches to computation to increase efficiency and quality of the Novartis Data Sciences practices
• Provides agile consulting, guidance and non-standard exploratory analysis for unplanned urgent problem
• Independently identifies research articles and reproduce / apply methodology to Novartis business problems
• Publishes in peer reviewed journals, helps organizing sessions at external professional conferences and contributes to cross-industry work streams in external relevant working group
• Makes right choices from a breadth of tools, data sources and analytical techniques to answer a wide range of critical business questions
• Ensures exemplary communication with all stakeholders including senior business leaders
• Contribute to the development of Novartis data science capabilities.

Diversity & Inclusion / EEO

Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Minimum Requirements

What you will bring to the role:
• 10+ years of relevant experience in Data Science
• 5+ years of relevant experience in Data Science, Information & Decision Theories, Data Visualisation, Machine Learning & Deep Learning, Big Data, Applied Mathematics, Predictive Modelling & Data Management

Why Novartis?
769 million lives were touched by Novartis medicines in 2020, and while we’re proud of this, we know there is so much more we could do to help improve and extend people’s lives.

We believe new insights, perspectives and ground-breaking solutions can be found at the intersection of medical science and digital innovation. That a diverse, equitable and inclusive environment inspires new ways of working.

We believe our potential can thrive and grow in an unbossed culture underpinned by integrity, curiosity, and flexibility. And we can reinvent what's possible, when we collaborate with courage to aggressively and ambitiously tackle the world’s toughest medical challenges. Because the greatest risk in life, is the risk of never trying!
Imagine what you could do here at Novartis!
Oncology NIBR
Data Science
Full Time
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Senior Data Visualisation Engineer

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