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About the role
Key responsibilities & impact- Lead and execute above-disease-area/tumour-type real-world data partnerships
- Build partnerships that expand RWD capabilities and identify opportunities to access population-level health datasets
- Partner with Translational Sciences on RWD partnerships linked to -omics, biobanks and other translational cohorts
- Ensure partnerships offer scale for GSK’s real-world evidence ambition and operationally execute evidence generation related to data access and analysis
- Partner with regional leaders to leverage population-level health data for research
- Act as strategic lead for the internal RWD domain for GSK data offices
- Guide pipeline strategy and data product roadmap with the Real World Data Engineering team
- Represent RWD and Development Sciences in the cross-functional data governance forum
- Inform data linkage strategy across the RWD portfolio and prospective observational studies
- Partner with DevOps on use of the RWD portfolio for clinical operations planning and execution
- Deliver and maintain the baseline inventory of RWD assets for portfolio assessment and decision making
- Facilitate partnerships enhancing RWD usability and impact for R&D, Medical and Commercial teams
- Support governance decisions, business cases and financial modelling for new investments
- Inform technology and infrastructure strategy, including reusable infrastructure and trusted research environments
- Ensure compliant RWD use in platform and tools strategy and communicate access opportunities
- Prioritise and monitor resource management across active RWD initiatives
- Set and monitor partnership and data-value KPIs
- Influence data governance and AI readiness efforts to ensure high-quality, analysis-ready and FAIR data
Requirements
What you’ll need- 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, including experiences in wide and complex cross-functional organisations
- Leadership skills in influencing and mobilising stakeholders to a common goal
- Experience and knowledge of RWD sources and partners spanning multiple geographies
- Understanding of country and regional health data landscapes and ability to critically assess opportunities for research
- Exceptional portfolio project management and organisational skills, particularly within a complex dynamic organisation
- Ability to communicate with clarity, vision and purpose
- 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
- Strong knowledge and experience of observational research methodology, including study designs and the impact of data quality on research validity
- ‘Hands on’ programming and coding skills with demonstrated experience with RWD
- Experience with data engineering and architecture, including working in or deploying trusted research environments
- Experience in AI/ML enablement and deployment of AI workflows
- Demonstrated experience of strategic partnerships with human patient-level data, including biomarkers, -omics and other biological measures and samples linked to clinical or real-world outcome data
Benefits
Comp & perks- Comprehensive benefits program for US employees
- Equal Opportunity Employer