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About the role
Key responsibilities & impact- Strategically execute external data partnerships to impact R&D and CPO activities
- Deliver insights, models, and evidence and demonstrate scientific value from Real World Data in decision making, pipeline progress, and portfolio growth
- Incubate potential external data partnerships with clinical, medical, and RWE leaders
- Influence implementation stakeholders across data platforms (Onyx and DDF), legal, procurement, and AI-enabled engineering functions
- Shape and deliver external data strategy for a key business area
- Steward investment governance for prospective data investments and manage the RWD and external cohort portfolio
- Define and deliver strategically purposeful Real World Data partnerships aligned with asset, therapy area, and pipeline strategy
- Review data strategy, provide feedback on governed partnerships, and prepare new investments for technical approval
- Build relationships with senior leaders across Research Units, Development Sciences, and Medical Affairs and provide strategic updates
- Maintain an inventory of data assets supporting evidence generation and in-silico modelling
- Provide thought leadership on data quality and suitability for RWE, in-silico modelling, and AI workflows
- Partner with Translational Sciences on linkage opportunities to biobanks and translational cohorts
- Nurture strategic partnerships with data holders, academic institutions, national data ecosystems, and health technology companies
- Ensure partnership objectives and deliverables are achieved on plan and within budget
- Work with health systems partners to support regulatory approval and access/reimbursement
- Steward new partnerships through implementation with legal, procurement, and data platform stakeholders
- Act as Business Data Owner for pipeline-aligned RWD assets and establish compliant governance processes
- Manage metadata and materials for data use and ensure accessed data is FAIR
- Account for AI adoption pathways and protect data privacy and compliance
- Execute data linkage opportunities and maximize reuse of clinical and routine RWD
- Implement data reliability plans to ensure regulatory-grade traceability of RWD for external evidentiary claims
Requirements
What you’ll need- Advanced degree (MSc or PhD) in life sciences or quantitative field (Epidemiology, Biostatistics, HEOR, data science)
- Demonstrated track record of data strategy ownership and execution in application to drug development, including experience in wide and complex cross-functional organisations
- Leadership skills in influencing and mobilising stakeholders to a common goal, communicating with clarity, vision and purpose
- Experience and knowledge of RWD sources and partners spanning multiple geographies, including country and regional health data landscapes
- Previous experience working with RWD partners to facilitate evidence generation, in-silico modelling, or data product creation focused on drug development or commercialisation
- Exceptional portfolio project management and organisational skills within a complex dynamic organisation
- Understanding of current regulatory and payer guidance for use of Real World Evidence/Data in decision making
- Knowledge of RWD data strategy concepts including FHIR, tokenisation and linkage, synthetic control arms, Common Data Models (CDMs), and context-specific LLMs
- ‘Hands on’ programming and coding skills and demonstrated experience with RWD
- Experience with data engineering and architecture, including trusted research environments
- Experience in AI/ML enablement and deployment of AI workflows
- Strong knowledge and experience of observational research methodology, including study designs and data quality impacts on research validity
- Demonstrated experience of strategic partnerships involving human patient-level data, biomarkers, -omics, and biological measures or samples linked to clinical or real-world outcome data
Benefits
Comp & perks- Comprehensive benefits program for US employees (details provided in GSK US Benefits Summary)
- Equal Opportunity Employer