Co-op, Artificial Intelligence Innovation

Biogen•Cambridge, MA

About The Position

This application is for a 6-month student role from July - December 2026. Resume review begins in January 2026. Biogen’s Decision & Quality Analytics Innovation (DQAI) team is part of the Research Development & Medical (RDM) organization. The vision of the DQAI team is to drive data-driven insights from trusted data, and our team mission is to maximize the quality, efficiency and application of analytics across RDM Portfolio and Quality Management Systems through improved data and metrics management, optimization opportunities, identification of compliance risk, and enhanced business analytics application. Specifically, the DQAI team has four major focus areas: Data Management Advanced Analytics Business Intelligence Metrics Management (Performance Measurement)

Requirements

You are a tech- and AI-forward problem solver who thrives on exploration and rapid iteration in a fun, collaborative team.
You partner seamlessly with business stakeholders and our embedded AI developers to turn needs into analytics products and automation.
Strong analytical and critical thinking skills with a proven track record of turning data into strategic insights.
Proficiency in data analysis tools and languages (e.g., Python, R).
Experience applying advanced analytics, such as statistical modeling, clustering, or NLP, to real-world business challenges.
Exceptional written and verbal communication skills, including the ability to synthesize complex findings for non-technical stakeholders.
Ability to work collaboratively in a cross-functional environment and lead analytics initiatives from concept to insight delivery.
Legal authorization to work in the U.S.
At least 18 years of age prior to the scheduled start date.
Be currently enrolled in an accredited community college, college, university or skills program/apprenticeship.

Responsibilities

Leverage modern AI assistants (Azure OpenAI / Copilot, GenAI-powered BI, etc.) to accelerate data exploration, automate repetitive tasks, and enhance insight storytelling.
Analyze complex data from various sources to identify trends, gaps, risks, and opportunities.
Work with senior staff to translate business questions into analytical problems and convert analytical outputs into actionable recommendations.
Apply statistical and machine learning techniques to uncover root causes, patterns, and predictive indicators.
Deliver concise insight summaries, written reports, and presentations that highlight implications and recommendations.
Work with data engineering and governance teams to ensure data readiness and integrity for analytics.
Support initiatives to accelerate insight discovery from portfolio analytics modeling.
Develop and prototype data visualizations and dashboards.
Participate in skill-building and capability-enhancement initiatives within the DQAI team.
Support development of custom-tailored strategic analytics solutions to answer complex questions from senior leadership.
Pioneer new approaches for displaying data to engage stakeholders.
Perform quality control functions to ensure the integrity of the team’s work.