Director, Global Real-World Evidence & Health Outcomes Research-Modelling Vaccines

For drugs to be successful, there must be robust health outcomes data to support launch optimization, reimbursement and maintain market position.  Specifically, evidence must be maintained throughout the product lifecycle as standard of care changes, new competitors are introduced, and patents expire on existing competitors. The landscape is evolving quickly as trials demonstrating efficacy in an area of unmet need may receive expedited review, or orphan product status designation which affects both GSK and competitors launch timelines and approval requirements. More and more of our customers are developing sophisticated internal health outcomes capabilities and access to real world data that can be used to better understand unmet needs and real-world effectiveness of our medicines. We need to better understand how our customers define value and to effectively collaborate with them to ensure we are generating value evidence data that includes real world evidence and cost effectiveness analysis that is impactful for payers, health systems, providers, and patients.  

The role of the Modelling Lead is essential to ensuring that each medicine GSK brings to market is supported by scientifically credible, high quality, evidence aligned with the needs of decision makers responsible for granting access / reimbursement, whilst providing leadership in a particular therapy area. The Director, Modelling works in collaboration with colleagues across data generation, Medical, Biostatistics, Epidemiology, and other parts of GSK to apply specialized expertise in modelling to support a medicine and/or disease area regarding the development of HTA reimbursement strategy, core economic models (cost effectiveness and budget-impact) and robust methods for generating appropriate model data inputs. The evidence generated from this work informs GSK drug development, supports HTA reimbursement submissions, informs health care providers, and ultimately, serves to transform clinical practice and improve patient outcomes.  

Established as a focused global function, Data Generation & Scientific Communications, is uniquely placed to help accelerate the successful integration of our medicines and vaccines into the healthcare pathway – we’re the ‘engine’ that brings our medical affairs strategies to life. 

‘Within this organization as the VP, Head of Global Real-World Evidence & Health Outcomes Research, Sulabha Ramachandran will be leading a team which incorporates the legacy VEO/Non-Interventional Studies capabilities teams under a newly evolved name that more closely reflects their purpose and the research they deliver.’

The role will serve as single point accountable Modelling Lead for a therapy area and/ or mentor/ lead a team of high performing  health economists/ modellers. The role will be accountable for ensuring close engagement with medical and matrix stakeholders and partner effectively in data generation plan (DGP) planning, design, execution, translation and dissemination for the asset and to ensure the highest standards of excellence are applied to modelling projects from a scientific/technical perspective. The responsibilities listed below outline the scope of the position, but may vary, based upon evolving business needs. 

This role will provide YOU the opportunity to lead key activities to progress YOUR career, these responsibilities include some of the following:

• Provide