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Salary
≈ $58k – $140k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Architect · 8+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Oct 6, 2026. Novartis scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Novartis is a Swiss pharmaceutical company created in 1996 by the merger of Ciba-Geigy and Sandoz, two Basel chemical and drug houses with roots in the nineteenth century. It has spent the past decade narrowing itself into a pure innovative medicines business, spinning off its generics arm as Sandoz in 2023 and its eye care business as Alcon in 2019, and now concentrates on cardiovascular, immunology, neuroscience and oncology, including radioligand therapies and gene therapy. Headquartered in Basel and listed in Zurich and New York, it is among the largest research spenders in the industry.

Job Description Summary

Job Title: Associate Director - Data Science

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

  • Lead the design, development, deployment, and monitoring of Generative Artificial Intelligence and agentic solutions.
  • Translate complex biomedical and business challenges into scalable data science and artificial intelligence strategies.
  • Drive innovation by applying advanced analytics, machine learning, and enterprise data management practices.
  • Partner with scientific, technical, and business stakeholders to deliver measurable impact and strategic outcomes.
  • Establish robust data lifecycle practices to ensure trusted, accessible, and high-quality enterprise data.
  • Guide cross-functional teams in solving critical business problems through data-driven decision making.
  • Evaluate and adopt emerging technologies, tools, and methodologies to advance analytical capabilities.
  • Communicate insights and recommendations effectively to senior leaders and non-technical audiences.
  • Build organizational capabilities through mentoring, coaching, knowledge sharing, and best-practice development.
  • Contribute to external scientific communities through research, publications, and industry collaborations.

Essential Requirements

  • 8+ Years expertise in designing, deploying, evaluating, and scaling Generative Artificial Intelligence and agentic systems.
  • Strong programming and software engineering experience using Python, application programming interfaces, and cloud platforms.
  • Experience building production-grade solutions with testing, continuous integration, deployment, observability, and security practices.
  • Demonstrated ability to apply machine learning, advanced analytics, and data science to complex business challenges.
  • Strong stakeholder management skills with the ability to translate scientific needs into practical solutions.
  • Excellent communication and leadership capabilities, influencing decisions across technical and non-technical audiences.

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 [email protected] 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
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