Co-op, Data Scientist

This application is for a 6-month student role from July - December 2025. Resume review begins in January 2025. Biogen’s Decision & Quality Analytics Innovation (DQAI) team is part of the RD&M, the vision of the DQAI team is to drive data-driven insights from trusted data. And the mission of the DQAIteam is to maximize the quality, efficiency and application of analytics, optimization opportunities, identification of compliance risk, and enhanced business analytics application. Specifically, the DQAI team has four major components: (1) Advanced analytics and simulation of portfolio data (Monte Carlo simulation, etc.); (2) Establish robust and scalable data management pipeline; (3) Apply Artificial Intelligence in different business domains (Data Science, Machine Learning, Statistical Analysis, etc.);  (4) Development of business intelligence tools (dashboards, websites, etc.) to transform data into actionable decisions. Position Description In this role, you will work side-by-side with Biogen’s Data Scientists and Statisticians – you will have the opportunity to implement the latest methods from state-of-the-art (SOTA) research papers and get involved in the entire development lifecycle of the Artificial Intelligence (AI) products— from data ETL to model training, versioning, deploying, monitoring and validate models with feedback from subject matter experts. Below are some accountabilities of this role: Collaborate closely with senior data scientists and statisticians to implement and deploy cutting-edge AI models  Facilitate clinical scenario simulation work Develop and prototype data visualizations and dashboards  Conduct research works on the latest AI applications in Pharmaceutical areas  Engage with stakeholders to communicate key results to deliver predictive and prescriptive insights Provide ad-hoc statistical and machine learning support to business partners  Example projects may include: Develop explainable machine learning models and deploy them as interactive dashboards Reproduce the latest methodologies from the top-tier machine learning research papers, apply them to Biogen’s internal data and use cases, and create comprehensive evaluation reports regarding the model performance and limitations Create a simulation model for clinical programs