Data Scientist

Key Skills

Apache Kafka, CDASH, Deep Learning, Machine learning techniques, Natural Language Processing (NLP), NoSQL, SQL, UI design, UX design

Job Description

400! This is the number of associates in Global Analytical R&D, across 4 countries, working tirelessly on innovative and patient centric medicines

YOUR KEY RESPONSIBILITIES:

Your responsibilities include, but are not limited to:

• Translate business questions into analytical problems and build solutions using visualization techniques, machine and deep learning, and statistical modelling
• Develop automated end-user solutions using combined knowledge in data science, modern data systems, and coding
• Search and develop 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 a 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 source
• Support various projects, of limited scope.
• Develop and maintain solutions developed in Microsoft Power Platform
• Develop Deep Learning/Machine Learning-based solutions to assist scientists

Diversity and Inclusion

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

Minimum Requirements

WHAT YOU’LL BRING TO THE ROLE:

• Education: Bachelors/Masters in Life Science or Information technology
• Mathematical & Statistical Modelling; Algorithm Development; Pattern Recognition & Cognitive Computing; Natural Language Processing; Data Visualizations.
• Knowledge of common data systems, SQL queries, data transformation and report generation; clearly demonstrated proficiency in Python, R or both.
• Expert knowledge in data modelling is a plus (i.e. advanced clustering and regression techniques, supervised and non-supervised learning methods)
• Web-based tool development (e.g. R Shiny, Dash, streamlit), knowledge in simple UX design and implementation.
• Knowledge or exposure to ML/Deep learning is added advantage.

Why Novartis?

766 million lives were touched by Novartis medicines in 2021, 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!

Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network