Director, Global Real-World Data (RWD)

Position Title : Director, Global Real-World Data (RWD)

Duration : 12 Months

Location : 100% remote

Global RWD Strategy & Souring (Director), will be a critical part of the RWE Center of Expertise (RWE CoE) Data Strategy & Partnership team within Value and Evidence (V&E) under the broader Medical Affairs + Health Impact (MHI) organization.

The primary responsibility of this role is to engage across MHI pillars including, but not limited to, V&E, Medical Engagement, and International Medical Affairs to identify and fill RWD gaps that are critical to delivering the value propositions of company's assets.

To optimize data efficiency within MHI and more broadly, this role will also coordinate data access and spend optimization activities across MHI while collaborating with Global Epidemiology, Data and Statistical Sciences and other Research and Development (R&D) and Commercial cross-functional teams.

This role includes maintaining expert awareness of industry trends for RWD, Big Data, new research platforms and capabilities that may facilitate innovative research and analytics opportunities for the RWE CoE.

Job Responsibilities :

Evaluate comprehensiveness, representativeness, and fitness-for-purpose of RWD through feasibility assessments and pilot studies.

Maintain knowledge of industry-leading RWD and capabilities, Big Data innovations, and analytics methodologies with practical use cases across all TAs.

Contribute to the RWE CoE data strategy function by identifying innovative data sources in connection to enterprise data initiatives.

Engage with cross-functional stakeholders and vendors in sourcing of RWD.

Contribute to continuous improvement of the RWE CoE functional initiatives and change management by modeling desired behaviors to promote a culture of curiosity, innovation, and industry thought-leadership.

Qualifications and Experiences :

PhD in Economics, Health Services, Health Economics, or related field.

Master's degree in Economics, Health Services, Health Economics, or related field will be considered if an individual has extensive years of transferable experience.

Extensive knowledge of IT infrastructure and analytics methods for structured and unstructured data (servers, databases, data lakes, etc.) is required.

A minimum of 5 years' experience in health services and outcomes research and the analysis of large multi-dimensional healthcare claims and electronic health records datasets.

A minimum of 8 years is required with a Master's degree in any of the required fields.

Relevant pharmaceutical industry experience is required.

Ability to independently perform exploratory analysis of new datasets through pilot studies and feasibility assessments in support of strategic data acquisition decision-making.

Demonstration of extensive knowledge of the RWD ecosystem (vendors, capabilities etc.) and evolving landscape trends; with ability to continuously monitor the evolving RWD landscape, identify gaps, and make actionable recommendations for closure to relevant stakeholders.

Demonstrated ability to stay abreast of external RWD / Big Data landscape and innovative use cases. Cross-functional collaboration to maintain a comprehensive catalog of Enterprise datasets and RWD vendors repository.

Strategic thinker with demonstrated ability to translate RWE strategies into relevant and timely RWD tactics and deliverables.

An influential leader with demonstrated ability to build trust and communicate effectively across all levels of the organization; develop and maintain effective cross-functional relationships with internal stakeholders and external customers for proactive problem-solving.

Executive presence with demonstrated ability to translate complex multi-dimensional concepts into layman's terms and tailor messaging to diverse stakeholder audience.

Demonstrated intellectual curiosity and strong desire for continuous learning and improvement.