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From the employer's careers site First seen 26 Oct 2026

Director, Real World Data Platform and Portfolio Lead

GSK Hybrid executive full-time

The employer hasn't listed a salary.

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Description

You will be accountable for the strategic execution and coordination of GSK's internal and external Real World Data (RWD) platform partnerships to impact R&D and CPO activities.

As the external data landscapes evolve globally, increasing competitive advantage is obtained by thoughtful data partnerships that align with GSK's translational, development, and commercialisation goals.

Reporting to the Executive Director and Head, RWD Strategy and Partnerships, this is a critical role of coordinating GSK's RWD strategy and execution across its wide network of internal and external stakeholders.

The successful candidate must demonstrate exceptional data strategy and operations skills and work with key functions in Translational and Development Sciences and Medical Affairs to ensure excellence in data acquisition and access whilst maximising the overall availability of external data.

Core Accountabilities:

  • Lead and execute RWD partnerships, building partnerships around expanding RWD capabilities and identifying new opportunities to access population-level health datasets.
  • Ensure partnerships offer scale to drive GSK's RWE ambition and ensure operational execution of evidence generation relating to data access and analysis.
  • Partner in key regions and with regional leaders where population-level health data can be leveraged for research.
  • Act as strategic lead for the internal RWD domain for GSK's data offices, ensuring engineering, programming, and AI teams have clear input on wider data strategy plans.
  • Partner with Real World Data Engineering team to guide pipeline strategy and data product roadmap.
  • Represent RWD and Development Sciences in the cross-functional data governance forum.
  • Inform data linkage strategy across GSK's RWD portfolio and in prospective observational studies.
  • Partner with DevOps to ensure use of RWD portfolio for clinical operations planning and execution.
  • Deliver and maintain the baseline inventory of RWD assets that underpins portfolio assessment and decision-making.
  • Facilitate partnerships which enhance usability and impact of RWD for R&D, Medical, and Commercial teams.
  • Work with therapy area-aligned data strategy leads and other internal data owners around common deliverables to inform upcoming governance decisions.
  • Inform technology and infrastructure strategy to prioritise re-usable infrastructure and enable efficient use of third-party vendors and partner-hosted trusted research environments.
  • Ensure platform and tools strategy compliantly uses RWD and keeps internal networks abreast of access opportunities.
  • Prioritise and monitor resource management across active RWD initiatives based on enterprise value and wider data and analytics strategy.
  • Set and monitor clear KPIs around partnerships and data value.
  • Influence data governance and AI readiness efforts to ensure high-quality, analysis-ready, and FAIR data.

Basic Requirements:

  • Advanced degree (MSc or PhD) in life sciences or quantitative field (Epidemiology, Biostatistics, HEOR, data science preferred).
  • Demonstrated track record of data strategy ownership and execution in application to drug development.
  • Leadership skills in influencing and mobilising stakeholders to a common goal.
  • Experience and knowledge of RWD sources and partners, spanning multiple geographies.
  • Exceptional portfolio project management and organisational skills.
  • Ability to communicate with clarity, vision, and purpose.
  • Understanding of current regulatory and payer guidance on the use of Real World Evidence/Data in decision-making.
  • Knowledge of key data strategy concepts in relation to RWD.

Benefits: GSK offers a comprehensive benefits program, which can be found at [GSK US Benefits Summary](https://www.gsk.com/en/careers/benefits).

Why GSK?: GSK is a global biopharma company with a purpose to unite science, technology, and talent to get ahead of disease together.

Skills

Required

Nice to have

  • Strong knowledge and experience of observational research methodology
  • Hands-on programming, coding skills and demonstrated experience with RWD
  • Experience with data engineering and architecture
  • Experience in AI/ML enablement and deployment of AI workflows
  • Demonstrated experience of strategic partnerships with human patient-level data
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