Technical Lead (Data Science & AI)

Key Skills

Python Programming, SQL, Scala Programming, Data science techniques, AI technology, Data Analytics, R Programming

Job Description

The purpose of our Senior Data Scientist is to understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. High agility to be able to work across various business domains. High agility to be able to work across various business domains. Integrate business presentations, smart visualization tools and contextual storytelling to translate findings back to business users with a clear impact.

Your responsibilities:

• 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 new algorithms, methods, statistical models and 1/3 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 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

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:

• 5+ years of relevant experience in Data Science
• 3+ years of relevant industry experience in analytics related projects within pharma, consulting, banking, retail, etc.
• Has a strong professional network across Academia
• In-depth mastery of external environment and trends
• Track record delivering global solutions at scale

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.

Novartis are an equal opportunities employer and welcome applications from all suitably qualified persons