Associate Director - Data Science
Novartis · Healthcare & Pharma
- Hyderabad (Office)
- On-site
- Posted today
- Apply by 19 Oct
- Data & AI
About the job
Job Description Summary
Job Title: Associate Director - Data Science
#LI-Hybrid
Location: Hyderabad, India
Relocation Support: Yes
Join Novartis at the forefront of scientific innovation, where advanced Artificial Intelligence and Data Science are transforming how we discover insights and address unmet medical needs. As an Associate Director - Data Science, you will lead the design and delivery of next-Generation Generative Artificial Intelligence and agentic solutions, partnering with global stakeholders to solve complex biomedical challenges at scale. This is an opportunity to combine scientific curiosity, technical excellence, and strategic leadership to create measurable impact for patients, researchers, and the future of healthcare while shaping the evolution of enterprise AI capabilities across Novartis.
Job Description
Key Responsibilities
Essential Requirements
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.
Accessibility and accommodation
Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message
Skills Desired
Artificial Intelligence (AI), Biostatistics, Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis