Director Data Science & AI

Key Skills

Apache Kafka, AWS, Azure, Linux Operating system, Python Programming, PyTorch, R Programming, UI design, UX design

Job Description

We are seeking a Director Data Science and AI who will independently lead Data Science & AI global initiatives part of the overall R&D data science and AI strategy to solve fundamental process or priority program needs, in collaboration with various partners. You will role model a culture of analytical decision making and data sciences across Novartis leadership in research and development. Deep technical expertise with key accountability for a significant project, business activity.

Major responsibilities:

Your responsibilities include, but are not limited to:

• Develops and drives roadmap for the team to innovate in multiple business verticals by redefining the way to solve a problem using Data Science and Artificial Intelligence
• Strategically coordinates, prioritise and efficiently allocates the team resources to critical initiatives: plans resources proactively, anticipates and actively leads change, sets partner expectations, identifies operational risks and enable the team to drives issues to resolution, balances multiple priorities and minimises surprise issues.
• Design, develop and deliver various data science-based insights, outcomes and innovation and create “proof of concepts & blueprints” to drive faster, timely, highly precise, workable and proactive decision making based on data based insights and science and shape strategic guide of the company.
• Identification and sourcing of relevant internal and external data sources and selection of innovative methods including machine learning, deep learning, other cognitive computing methods and artificial intelligence
• Architecture and development of new IT infrastructure
• Collaborates with globally dispersed internal team members, external partners and Institutions and cross-functional teams to solve critical business problems, drive operational efficiencies and innovative ways.
• Provides agile consulting, guidance and non-standard exploratory analysis for unplanned urgent problems.
• Presents and publishes articles in conferences and academic institutions of repute and serves as an ambassador for promoting Novartis Data Sciences brand.
• Contribute to the development of Novartis data science capabilities.

Diversity & Inclusion / EEO

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

Role Requirements

Minimum requirements:

What you'll bring to the role:

• Masters in a quantitative discipline, Ph.D. highly preferred (e.g. Applied Mathematics, Computer Science, bioinformatics, epidemiology and Statistics; can also consider Operations Research, Industrial Engineering, Decision Science, Quantitative Research, Econometrics, Computational Physics/Chemistry/Biology)
• 12+ years of relevant experience in Data Science, with at least 3 years in Pharma/Healthcare with commercial or drug development business.
• Cross-industry experience highly preferred.
• Minimum 3 years of international experience working with Global teams.

Why Novartis? Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture

You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards

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