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Director-Real World Evidence

  • Source: Novartis
  • Novartis
  • On-site
  • State of Telangāna, India
  • Full-Time
  • Senior

Job Description

Summary

The Director, Real-World Evidence leads the RWE function within the Hyderabad NOCC, with end-to-end accountability for the capability build and execution quality of non-interventional studies, real-world evidence generation, evidence synthesis and health economic modelling supporting the US medical affairs priority therapeutic areas. Operating as a senior member of the RWE team, the Director shapes our ambition of transitioning from external CRO dependency to internally executed, methodology-led evidence generation, and serves as the senior point of accountability for the RWE, evidence synthesis, and economic modelling.

This role is tactical and executional in equal measure. The Director defines and drives the multiyear road map for the Hyderabad RWE function, delivers against an ambitious portfolio of evidence projects, and partners with colleagues in the US and Ireland as part of United EG team. The director represents the Hyderabad RWE function in senior cross functional forums and is expected to influence evidence generation priorities across therapeutic areas, HEOR, and data platforms.

About the Role

Key Responsibilities

Location – Hyderabad #LI Hybrid

  • Functional Road Map - Define and execute the multiyear vision for Hyderabad RWE across all RWE activities. Translate EG priorities into a coherent Hyderabad operating plan with clear capability milestones, talent investments, and portfolio commitments.
  • Portfolio Leadership - oversee end-to-end delivery of the Hyderabad RWE portfolio, ensuring scientific rigor, regulatory compliance, and timely delivery across NIS, secondary use of data studies, evidence synthesis projects, economic modelling, and rapid analytics. Set portfolio prioritization criteria and resolve tradeoffs across competing TA priorities.
  • People Leadership – lead, develop, and continuously evolve a team of direct reports and an extended team of associates working across scientific data analysis, research analytic, and economic modelers and specialists. Build a culture of scientific excellence, accountability, and collaboration; identify and grow next generation leaders within the function.
  • Internal Capability Building - drive the tactic transition from CRO led to internally executed evidence generation. Develops standardized methodologies, SOPs, templates, and quality frameworks that institutionalize execution capability. Make build versus buy decisions for retooling, partnerships, and external expertise.
  • Evidence Synthesis - direct the function’s evidence synthesis capability, including systematic literature reviews, meta-analysis, indirect treatment comparisons, and network meta-analysis. Ensure methodological rigor, transparency, and timely delivery in support of clinical, regulatory, and access related decisions across priority therapeutic areas.
  • Health Economic Modeling - oversee the team’s economic modeling capabilities including cost effectiveness, budget impact, and burden of illness models in close partnership with HEOR leads. Ensure models are scientifically defensible, transparently documented, and aligned with the broader evidence priority for each asset.
  • Field Communication Tools - oversee the development of evidence-based field communication assets that translate RWE, evidence synthesis, and economic modeling outputs into formats usable by medical affairs field teams, e.g., field decks, scientific exchange materials, evidence summaries, value narratives. Ensure scientific accuracy, compliance, and alignment with therapeutic area medical priorities.
  • Quality, Governance, and Compliance – own the quality and compliance posture of all Hyderabad RWE outputs. Ensure adherence to regulatory, ethical, and internal scientific standards; sponsor the function’s representation on the medical review committee and other governance bodies.
  • AI Fluency: Models and promotes effective AI use across the team, embedding AI tools into workflows, guiding team members in responsible AI practices, and fostering a culture of experimentation and continuous learning.

Essential Requirements:

  • 10+ years in the pharmaceutical, healthcare, or research sectors with significant experience in real-world evidence or a similar area
  • 5+ years of People management experience, including managing managers or leading teams of analytical professionals
  • Demonstrated track record of successfully delivering complex studies fro…

Skills

  • nis
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