Summary 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 Biomedical Research(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 leads the Scientific Innovation group within AICS and is tasked with leading a group of scientists with significant domain expertise in biomedical research along with being AI-native, and also act as the primary SME liaison of AICS to BR Disease Areas (DAs) and Function Areas (FAs).
Key Responsibilities
Scientific Innovation Group Lead:
Lead a team of AI researchers who also bring significant domain area expertise
Work with AI modelers to ensure models are robust and performant
Work with Engineering and Product Development resources to ensure delivery of AI solutions
Raise the awareness of AI applications to aid in answering key research questions across Biomedical Research
Help position AI-aided drug discovery contributions to deliver and support progress of Biomedical Research's portfolio, enable new kinds of therapeutic discoveries, shorten cycle times, and increase efficiency.
Collaboration & partnership
Act as the primary liaison as a subject matter expert for AICS, for identification of research questions, solution design, and evangelism of results and impacts of AI across Biomedical Research
Regularly communicate, engage, align with AICS teams, broader data science community, and senior scientists.
Initiate and lead key high-value internal collaborations across Biomedical Research.
Help to design translatable metrics for AI models that will lead to tangible impact in collaboration with BR DAs and FAs.
Essential Requirements:
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