Job Description Summary
The Executive Director for AI and Computational Sciences (AICS) will contribute to the development and implementation of overall strategy for Data and Data Novartis has embraced a bold strategy to drive a company-wide digital transformation. Our objective is to position Novartis as an industry leader by proactively adopting digital technologies that foster innovative approaches to hasten drug discovery and development. By utilizing both internal and external R&D data with the power of data science, predictive models, generative AI, and machine learning, our objective is to identify new targets, create more effective therapeutic molecules, better predict drug pharmacokinetics and safety risks, refine clinical trial design, and significantly shorten development cycles. The AICS team leads BR in exploring and applying advanced AI and ML methodologies to generate novel drug discovery insights, and to speed and improve drug discovery efficiency whilst focusing on patients needs.
AICS partners with drug discovery teams, raises the level of AI expertise across Biomedical Research (BR) and ensures that BR science keeps up with the rapidly evolving ecosystem of AI technologies by connecting with AI leaders in academia and industry.
This role supports the work to define BR’s Artificial Intelligence (AI) strategy & execute on key priorities in collaboration with the AICS teams, BRs data science community and key stakeholders.
The incumbent will bring expertise, innovation and vision to the field of AI within Biomedical Research, attracting, retaining, empowering and developing top talent, building strong working relationships with diverse business stakeholders, and delivering drug discovery outcomes for BR.
The head of AICS is a member of the Research Informatics Leadership team (RXLT) and also of BR’s Computational Sciences Council (CSC).
Job Description
The mandate of the AICS team leader encompasses the following elements:
AI & computational science leadership:
Collaboration & partnership
Organizational & people leadership
Background
Education:
Experience:
Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.
Skills Desired
Algorithms Development, Applied Mathematics, Artificial Intelligence (AI), Big Data, Culture Change, Data Analytics, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, High-Performance Computing, Information Architecture, Machine Learning (Ml), Master Data Management, Mentorship
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