Auf einen Blick
- Aufgaben: Lead data science initiatives and develop AI models to solve complex business challenges.
- Arbeitgeber: Join Novartis, a global leader in reimagining medicine and improving lives.
- Mitarbeitervorteile: Work in a diverse environment with opportunities for professional growth and innovation.
- Warum dieser Job: Be at the forefront of AI in healthcare, making impactful decisions that drive change.
- Gewünschte Qualifikationen: Expertise in AI/ML, strong communication skills, and understanding of drug development required.
- Andere Informationen: Position based in Basel, Switzerland; relocation support not available.
Das voraussichtliche Gehalt liegt zwischen 72000 - 108000 € pro Jahr.
This role is part of the commercial Data and Analytics team at Novartis. The Director – Analytics & AI will understand complex and critical business problems from various stakeholders and business functions, formulate an integrated analytical approach to mine data sources, and employ statistical methods, machine learning algorithms, and AI to discover actionable insights and automate processes for reducing effort and time for repeated use.About the RoleMajor Accountabilities:Deliver data science pipelines, models, and ensure the quality of AI outcomes, with a focus on AI call planning.Develop and manage AI/ML-based Next Best Action (NBA) models.Communicate and collaborate effectively with senior stakeholders across Novartis teams, driving strategic priorities at the enterprise level in a matrix environment.Possess an in-depth understanding of the drug development life cycle and the commercial aspects of the pharmaceutical business.Stay updated with existing and emerging AI/ML tools and technologies and have a proven track record of implementing them at an enterprise level.Build statistical, econometric, and ML algorithms (e.g., random forest, GBM, clustering techniques), and have an advanced understanding of optimization techniques.Translate business requirements into problem statements and drive hypothesis generation to identify the right data science problems to be solved.Deliver enterprise-level scalable solutions and have proven capability in building and developing data science-driven software products, along with an understanding of software lifecycle management and agile product delivery.Exhibit excellent written and verbal communication, business analysis, and consultancy skills.Location:This role can be based in Basel, Switzerland. Novartis is unable to offer relocation support for this role: please only apply if this location is accessible for you.Commitment to Diversity & Inclusion:Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.Accessibility and Accommodation:Novartis is committed to working with and providing reasonable accommodation to all individuals. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, please send an e-mail to 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!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. #J-18808-Ljbffr
Director, Analytics & AI Arbeitgeber: Novartis Farmacéutica
Kontaktperson:
Novartis Farmacéutica HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Director, Analytics & AI
✨Tip Number 1
Familiarize yourself with the latest AI and machine learning tools that are relevant to the pharmaceutical industry. Being able to discuss specific technologies and their applications in your interviews will demonstrate your proactive approach and expertise.
✨Tip Number 2
Understand the drug development life cycle thoroughly. This knowledge will help you articulate how your analytical skills can directly impact business outcomes and improve processes within Novartis.
✨Tip Number 3
Prepare to showcase your experience in delivering scalable data science solutions. Be ready to discuss past projects where you successfully implemented AI/ML models and the tangible results they achieved.
✨Tip Number 4
Practice your communication skills, especially in conveying complex analytical concepts to non-technical stakeholders. This is crucial for collaborating effectively across teams and driving strategic priorities.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Director, Analytics & AI
Tipps für deine Bewerbung 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Director, Analytics & AI position. Familiarize yourself with the key accountabilities mentioned in the job description.
Tailor Your CV: Customize your CV to highlight relevant experience in data science, machine learning, and AI. Emphasize your ability to deliver scalable solutions and your understanding of the pharmaceutical industry.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for analytics and AI, as well as your commitment to diversity and inclusion. Mention specific examples of how you've successfully implemented AI/ML tools in previous roles.
Highlight Communication Skills: Since effective communication with senior stakeholders is crucial, ensure your application reflects your strong written and verbal communication skills. Provide examples of past experiences where you successfully collaborated with diverse teams.
Wie du dich auf ein Vorstellungsgespräch bei Novartis Farmacéutica vorbereitest
✨Understand the Business Context
Make sure you have a solid grasp of Novartis' business model and the pharmaceutical industry. Be prepared to discuss how your analytical skills can address specific challenges faced by the company.
✨Showcase Your Technical Expertise
Be ready to dive deep into your experience with AI/ML tools and statistical methods. Highlight specific projects where you've successfully implemented these technologies and the impact they had on the organization.
✨Communicate Effectively with Stakeholders
Demonstrate your ability to communicate complex data insights in a clear and concise manner. Prepare examples of how you've collaborated with senior stakeholders to drive strategic initiatives.
✨Stay Updated on Industry Trends
Research the latest trends in AI and machine learning, especially as they relate to the pharmaceutical sector. Being knowledgeable about emerging technologies will show your commitment to continuous learning and innovation.