Director of Evidence Partnerships & Solutions at Novartis shaping future of evidence generation through partnerships. Responsible for driving innovative methodologies and collaborations across global teams.
Responsibilities
Drive identification, implementation and scaling of strategic partnerships (data, academic, medical societies) and technology solutions (infrastructure, software, AI, data networks, federated platforms) to accelerate Real-World and clinical trial evidence aligned with business priorities.
Execute innovative methodologies (e.g RWD to RCT linkage; implementation science; synthetic data) and digital tools to enhance evidence generation impact and scalability.
Identify and recommend fit-for-purpose RWD based on hands-on assessment of relevance and reliability to address specific research questions that support product access and adoption.
Translate evidence generation needs into fit-for-purpose requirements and relevant solutions in collaboration with cross-functional teams.
Connect internal and external stakeholders to ensure consistent implementation of advanced solutions such as advanced statistical methods and ML/AI algorithms.
Collaborate with research, academic, industry and startups partners to stay at the forefront of Evidence Generation innovation.
Promote a culture of innovation to adopt novel scientific methods including pragmatic studies and hybrid trial models and creative ways to use data and technology solutions.
Develop and communicate data and technology learning content and toolkits to support new evidence capabilities across global teams.
Ensure partnered research meets regulatory, legal, and ethical standards while maintaining high data quality and integrity.
Requirements
Experience in pharmaceutical, academic research, or healthcare settings with a focus on evidence generation.
Experience creating and fostering meaningful external supplier, academic, and non-profit partnerships to enhance evidence generation.
Proven expertise in designing and executing interventional and non-interventional studies and real-world evidence approaches.
Knowledge in RWD sources, common data models, Data Quality, FHIR, Tokenization, AI/GenAI, LLMs, ML modelling.
Strong understanding of drug development with the ability to lead cross-functional evidence initiatives.
Demonstrated ability to learn new scientific areas, tools, and advanced evidence methodologies.
Ability to create and implement innovative strategies that enhance evidence capabilities.
Strong communication skills with the ability to explain complex scientific concepts to diverse stakeholders.
Strong understanding and experience working across regions with knowledge of global regulatory, data privacy, and healthcare environments.
Benefits
Relocation Support: Novartis is unable to offer relocation support: please only apply if accessible.
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