Real World Evidence Director
GLOBAL PRODUCT & PORTFOLIO STRATEGY
Basel, Switzerland
vor 7 Tg.

Position Purpose :

In a franchise, provides thought-leadership and enables cross-functional teams (V&AT, GMAT, GPT) in becoming leaders in utilization and generation of RWE and enabling them to leverage RWE in innovative and advanced ways.

Creates and implements uniform excellence standards across franchises for development and reporting of RWE. Focused on priority disease areas and gaps, is responsible for the development of a sustainable innovative and scientifically robust Real World Evidence (RWE) strategy with-

in the Business Franchise. Is responsible for the development of franchise RWE plan with accountability agreed with involved key functions such as GMA, GPA / HEOR, COAR, or DS&E.

Ensures successful implementation of the RWE plan in close collaboration with representatives from above functions. Works closely with franchises in regions and CPOs to enable capability building and sharing of best practices across geographies.

Works with regions and CPOs to develop blueprints for organizing effective local RWE teams in a franchise. This role will be a member of the leadership teams in the Center of Excellence for Real World Evidence, the Franchise Patient Access Leadership Team, and also the Franchise Medical Affairs Leadership Team, and build strong partnerships with both global and local Franchise and Function heads.

Major Accountabilities :

  • Act as thought-leader and change agent internally on matters pertaining to the overall implementation of the franchise RWE strategy and tactics.
  • Ensure a broad understanding of the value of RWE to the product value demonstration both globally and locally. Drive and ensure innovative, best-

    in-class evidence planning and creation, to maximize value of key development projects, products, and businesses in key geographies.

  • In priority disease areas and focused on gaps, lead a cross-functional Real World Evidence team, consisting of representatives from GMAT, VAT, GPT, CPO team.
  • Embedded within the franchise and a liaison to team members of the RWE Center of Excellence. With the clear objective to deliver scientifically valid evidence and to drive global and local value demonstration.

  • Utilize a decision matrix determine with medical / GPA / product teams the most suitable RWE studies that meet prioritized evidence needs.
  • Where retrospective analysis or existing data is not available, recommend the most appropriate prospective data collection study design and analysis that achieves the objectives.

  • Represent the franchise in the leadership team of the COE and closely collaborates with key functions GMA, GPA, DS&E ensuring scientific rigor in RWE strategy, studies and analyses.
  • Is a member of the Integrated Scientific and Operational Review team.

  • Responsible for applying the latest developments in RWE retrospective / prospective study design and statistical analysis to studies addressing the key research questions for the product and the Franchise.
  • Work with regions and countries to develop blueprints for organizing effective local RWE teams.
  • Anticipate and secure full resources within Franchises to ensure access to the required data and analytic support to fully implement the RWE strategic plan.
  • Provide input for a central RWE foundational data and analytics strategy, in line with business priorities, and in support of central RWE platform.
  • Provide regular updates on implementation of RWE plans to RWE COE LT and regional leadership teams, including updates on KPI for franchise and geographic roll-out of RWE strategy
  • Minimum requirements

  • 8 / 10+ years relevant experience acquired at pharmaceutical companies, academia, healthcare provider / Payer / HTA, or relevant consultancy companies
  • Considerable experience in planning, creation, and analysis of real-world data, from both prospective and retrospective studies with a proven success record in this field
  • Previous work and leadership in international and multi-disciplinary drug development and product teams
  • Experienced and with a strong knowledge of research methodology and statistical methods in the field of prospective clinical data analysis
  • Considerable experience in collaborating with quantitative scientist and analyst
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