Co-op, Data Science & AI Innovation

Role: Student internship in Portfolio Data & Digital Innovation (PDDI) focused on developing AI-driven solutions to enhance data integration, portfolio visibility, and decision-making in biopharma R&D. Responsibilities: Collaborate with data scientists and business leaders to design and deploy machine learning models, predictive analytics, AI agents, and data pipelines; create dashboards and data products; evaluate emerging AI technologies; contribute across the full AI solution lifecycle. Requirements: Currently pursuing a Master’s in Data Science, Bioinformatics, or related field; proficiency in Python, R, SQL; understanding of machine learning, data modeling, cloud platforms, and data integration. Preferred: Experience with AI applications, decision science, cloud tools, and pharma/biotech R&D portfolio analytics; familiarity with NLP, LLMs, and visualization tools. High-Value: Focus on AI/ML in portfolio analytics within pharma R&D, working on initiatives like portfolio automation, risk analysis, resource forecasting, and enterprise data ecosystems. Collaboration with multidisciplinary teams across Development, Portfolio Management, and Operations. Work setup: 6-month remote internship (Jan–June 2027), with eligibility criteria for students enrolled in accredited programs.