AstraZeneca
|Executive Director, Data Science Platforms
Summary
Leading a global, multidisciplinary team to develop advanced algorithms, big data analytics, and intuitive software solutions for oncology research, driving data discoverability, interoperability, and reusability.
Highlights
Led a global, multidisciplinary team responsible for developing advanced algorithms, big data analytics, and intuitive software solutions for oncology research.
Drove data discoverability, interoperability, and reusability across the organization by implementing FAIR (Findable, Accessible, Interoperable, Reusable) data principles, significantly enhancing data quality and accessibility.
Oversaw program management, strategic finance, and talent acquisition initiatives, fostering innovation and maintaining a competitive advantage in data science.
Developed a 'best in class' imaging ecosystem, revolutionizing computational pathology across R&D and accelerating drug development pipelines.
Established new data product builds, directly supporting critical decision-making and accelerating drug development pipelines within the oncology domain.
Communicated complex technical concepts effectively to non-technical stakeholders, influencing senior leadership and driving data-driven decision-making.
Developed a scalable analytics platform for large multi-omic cancer initiatives, enabling cross-omic integrations at the sample/patient level.
Led cross-organizational innovation events, significantly increasing engagement and driving novel data science solutions across the enterprise.