Co-op, Decision & Quality Analytics Innovation

Role Summary

Co-op role in Biogen's Decision & Quality Analytics Innovation (DQAI) team within the Research Development & Medical (RDM) organization. You will work on data-driven analytics initiatives, leveraging AI-assisted tools to explore data, build dashboards, and translate findings into actionable recommendations. The program focuses on data management, advanced analytics, business intelligence, and metrics management across the RDM portfolio and quality management systems. This 6-month position runs January through June 2026.

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.

Qualifications

• Required: Strong analytical and critical thinking skills with a proven track record of turning data into strategic insights.
• Required: Proficiency in data analysis tools and languages (e.g., Python, R).
• Required: Experience applying advanced analytics, such as statistical modeling, clustering, or NLP, to real-world business challenges.
• Required: Exceptional written and verbal communication skills, including the ability to synthesize complex findings for non-technical stakeholders.
• Required: Ability to work collaboratively in a cross-functional environment and lead analytics initiatives from concept to insight delivery.
• Required: Legal authorization to work in the U.S.
• Required: At least 18 years of age prior to the scheduled start date.
• Required: Currently enrolled in an accredited community college, college, university or skills program/apprenticeship.

Education

• Currently pursuing a Master’s degree in Data Science, Statistics, Bioinformatics, Computer Science, Computational Biology, or related field.

Skills

• Proficiency in data analysis tools and languages (Python, R).
• Experience applying advanced analytics (statistical modeling, clustering, NLP) to real-world business challenges.
• Ability to translate business questions into analytical problems and deliver actionable recommendations.
• Exceptional written and verbal communication skills.
• Ability to develop and prototype data visualizations and dashboards.