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1201 F. Hoffmann-La Roche AG
last mo.

PDMA Evidence Solution Leader(m/w/x)

Basel
Full-timeOn-siteSenior

Description

In this strategic role, you will design evidence solutions that address key gaps in the Integrated Evidence Plan, collaborating with various stakeholders to enhance the value of therapies and ensure that evidence strategies meet the evolving needs of patients and healthcare professionals.

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Requirements

  • Advanced degree in relevant scientific field (MD, PhD, PharmD, or equivalent)
  • 7+ years of experience in pharmaceutical, biotechnology, or healthcare industry
  • 3–5 years in evidence generation, RWD, or NIS leadership roles
  • Experience contributing to or leading integrated evidence plans (IEPs)
  • Global or multi-country experience in medical affairs, clinical development, health outcomes, or RWE
  • Deep understanding of real-world evidence methodologies
  • Knowledge of data privacy, governance, and regulatory frameworks for RWD generation
  • Working knowledge of health authority and HTA evidence expectations
  • Proficiency with medical evidence planning and insight-generation tools

Education

Master's degree

Work Experience

7 years

Tasks

  • Serve as a medical and methodological expert for real-world data and data reuse
  • Lead the design of decision-driven evidence solutions aligned with strategic priorities
  • Recommend optimal solutions for Integrated Evidence Plans, including data asset reuse and scientific projects
  • Ensure solutions provide early visibility and support value differentiation
  • Identify and drive opportunities for data reuse across studies and geographies
  • Promote transparency of internal data assets and tools for future reuse
  • Collaborate with cross-functional stakeholders to align on evidence needs and feasibility
  • Co-create local and multi-country evidence solutions with affiliates
  • Share expertise and promote standardized frameworks and tools
  • Create and sustain a community of local Evidence Generation Leaders
  • Focus on capability building, data landscaping, and real-world data initiatives
  • Develop and manage non-interventional studies and data reuse projects

Languages

EnglishBusiness Fluent

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