AD, Data Science
Skills
About the role
This is an Associate Director-level data science leadership role at Novartis, based in Hyderabad, overseeing GenAI and agentic systems work applied to biomedical business problems. It suits a senior data scientist or team lead comfortable setting analytical strategy, managing a team or budget, and translating complex analysis for non-technical business leaders. The role sits within Novartis's broader data science and AI capability organization.
What you’ll do
- Formulate analytical approaches to mine data sources and apply statistical and ML methods
- Manage the enterprise data lifecycle from acquisition through retirement
- Translate analytical findings into clear recommendations for business users
- Set strategy, manage budget and coordinate projects within the supervised area
- Design, prototype, deploy, evaluate and monitor LLM applications using RAG, tools and orchestration
- Provide guidance and coaching if managing a team
- Publish in peer-reviewed journals and contribute to external professional conferences
What they’re looking for
- End-to-end GenAI/agentic systems engineering experience, including RAG, tools, orchestration and safeguards
- Strong software engineering and production delivery skills: Python, APIs, testing, CI/CD, version control
- Experience translating ambiguous biomedical research needs into practical AI solutions
- Ability to drive adoption and show measurable impact across teams
Questions about this role
Is this role remote?
The posting doesn't state a remote option; it lists the location as Hyderabad.
What technical skills are required?
End-to-end GenAI/agentic systems engineering (RAG, orchestration, tools) plus strong Python and production software engineering skills.
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