Manager Evidence Generation

4 days ago

Hyderabad, Telangana, India Novartis Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Job Description Summary

#LI-Hybrid
Location: Hyderabad, India

At Novartis, we're reimagining medicine through data-driven insights and as an Evidence Generation Manager, you'll be at the heart of that transformation. In this role, you'll lead the development of innovative, non-interventional studies using real-world data to shape how our medicines are accessed and adopted globally. Your scientific leadership will empower regulators, payers, clinicians, and patients to make informed decisions, ultimately improving lives. If you're passionate about evidence strategy, thrive in a collaborative environment, and want to make a meaningful impact, this is your opportunity to do work that matters.

Job Description

Key Responsibilities

  • Lead non-interventional studies using real-world data aligned with Integrated Evidence Plans

  • Develop study concepts, protocols, reports, and contribute to analysis and interpretation

  • Ensure scientific rigor in evidence strategy, study design, and analytical approaches

  • Collaborate with internal teams and external stakeholders to shape evidence generation

  • Support creation and execution of innovative evidence strategies and methodologies

  • Stay current with trends, technologies, and insights to drive evidence innovation

  • Provide scientific oversight for country-level studies and publications

Essential Requirements

  • Advanced degree in life sciences or healthcare; MBA or equivalent preferred

  • 3+ years' experience in evidence generation within pharma, academia, or healthcare

  • Proven ability to design and deliver non-interventional studies using real-world data

  • Strong communication skills to translate complex concepts for diverse audiences

  • Excellent collaboration and influencing skills in a global matrix environment

  • Results-driven mindset with ability to meet deadlines in dynamic settings

Skills Desired

Automation, Biostatistics, Clinical Trials, Computer Programming, Metadata Management, Statistical Analysis

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