Co-op, Data Science & AI Innovation

About the Role: This application is for a 6-month student role from January - June 2027. Resume review begins in October 2026. Portfolio Data & Digital Innovation (PDDI) is a multidisciplinary team dedicated to transforming how Development leverages data, technology, and artificial intelligence to make faster, better-informed decisions. We bring together expertise in portfolio analytics, data management, AI/ML innovation, Planisware technology, and digital product delivery to create scalable solutions that improve portfolio visibility, streamline operations, and accelerate decision-making. Through initiatives such as Project FORWARD, AI-powered automation, portfolio intelligence tools, and a connected data foundation, PDDI partners across Development, Finance, IT, and other functions to drive innovation, strengthen governance, and enable a more data-driven and agile organization. What You'll Do: As a member of the Portfolio Data & Digital Innovation (PDDI) team, you will help shape the future of data-driven decision making across Biogen's R&D portfolio. Working alongside data scientists, portfolio strategists, data engineers, and business leaders, you will develop AI-powered solutions that improve portfolio visibility, accelerate decision-making, enhance data quality, and streamline operational workflows. You will contribute across the full solution lifecycle, from data acquisition and engineering to model development, deployment, monitoring, and continuous improvement. Key responsibilities include: Collaborate with data scientists, portfolio analysts, and subject matter experts to develop and deploy innovative AI and analytics solutions. Design and implement machine learning, predictive analytics, and decision-support models that address real-world portfolio and operational challenges. Develop interactive dashboards, reporting tools, and data products that translate complex data into actionable insights. Research and evaluate emerging AI, machine learning, and agentic AI technologies and identify opportunities to apply them within pharmaceutical R&D. Partner with stakeholders across Development, Portfolio Management, and Operations to understand business needs and deliver scalable, high-impact solutions. Contribute to the design and maintenance of data pipelines, AI platforms, and software products that support enterprise decision-making. Promote responsible AI practices, model transparency, and continuous learning through experimentation and innovation. Example projects may include: Building AI agents that automate portfolio reporting, risk identification, and data reconciliation workflows. Developing predictive and prescriptive analytics to support portfolio prioritization and strategic planning. Developing scalable data pipelines and ETL processes that integrate data from Planisware, quality systems, financial systems, and other enterprise platforms. Supporting the design, optimization, and governance of Biogen's Snowflake-based data ecosystem, enabling trusted, AI-ready data products and analytics. Creating machine learning models and decision-support tools for resource forecasting, quality analytics, and operational intelligence. Developing Project FORWARD capabilities that connect data, AI, and workflow automation to enable a more proactive and intelligent portfolio management ecosystem. Who You Are: You are a curious, collaborative, and impact-oriented candidate who enjoys solving complex business problems through data, analytics, and AI. You combine strong technical skills with a passion for translating innovative ideas into practical solutions that create measurable business value. Qualifications: Proficiency in Python, R, or another programming language commonly used for data science and analytics. Strong foundation in machine learning, statistics, and data analysis. Familiarity with NLP, LLMs, generative AI, and their underlying methodologies. Experience with modern machine learning and deep learning frameworks suc