King of Prussia, PA30+ days ago
Major Responsibilities Lead development and deployment of advanced analytics and AI models to address critical commercial challenges (patient identification in rare disease, HCP segmentation, Medical and Tender use cases) In close partnership with ABCIA Commercial, Medical Affairs, and Market Access teams to ensure solutions are aligned with strategic business needs Translate business problems into well-defined data science use cases and develop proof-of-concept pilots through to production Drive adoption of AI-enabled tools across the commercial organization, ensuring business users understand and trust the outputs Partner with I&T and Data Governance to ensure responsible AI practices, data quality, and scalable infrastructure Drive CSL innovation in the field, leading to high visibility publications in top AI conferences and patents around Generative AI, reasoning, multi-agent systems, etc Establish KPIs and frameworks to measure ROI and business impact of data science projects Stay current with emerging AI/Machine Learning (ML)techniques, tools, and regulatory developments, and translate those into CSL's context Develop strong external partnerships (vendors and external partners) to bring cutting-edge AI capabilities into CSL and represent Commercial Data Science in cross-functional governance forums, ensuring alignment with global AI/ML initiatives Qualifications Bachelor's in data science, AI, Computer Science, Statistics, Applied Mathematics, or related quantitative discipline. Strong analytical and problem-solving skills, with the ability to interpret complex data and make informed decisions A deep understanding of the pharmaceutical industry, including regulatory requirements, market dynamics, and emerging AI technologies, with the foresight to identify and map both current and future AI opportunities, is preferred.