Co-op, Data Science & AI Innovation

Overview

A 6-month student co-op (January to June 2027) on Biogen's Portfolio Data & Digital Innovation team, developing AI-powered analytics and decision-support solutions for R&D portfolio management.

What you'll do

• Collaborate with data scientists, portfolio analysts, and subject matter experts to develop and deploy AI and analytics solutions.
• Design and implement machine learning, predictive analytics, and decision-support models for 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 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.

What you'll need

• 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 such as PyTorch, TensorFlow, Hugging Face, or similar platforms.
• Experience building and maintaining data pipelines, ETL workflows, and data integration processes.
• Proficiency in SQL and experience working with enterprise-scale relational and cloud-based data platforms.
• Familiarity with Snowflake, Databricks, or other modern cloud data warehousing technologies.
• Understanding of data modeling concepts, including dimensional modeling, star schemas, and data architecture best practices.
• Ability to communicate technical concepts and analytical findings to both technical and non-technical audiences.
• Strong problem-solving skills and a desire to work collaboratively in a multidisciplinary environment.
• Passion for learning, experimenting with emerging AI technologies, and applying them to business challenges.
• Currently pursuing a Master's degree in Data Science, Statistics, Bioinformatics, Computer Science, Computational Biology, or related field.
• Legal authorization to work in the U.S.
• At least 18 years of age prior to the scheduled start date.
• Currently enrolled in an accredited community college, college, university or skills program/apprenticeship.

Nice to have

• Experience developing AI-powered applications, decision-support systems, or data products.
• Experience with Monte Carlo simulation, optimization, forecasting, or decision science methodologies.
• Familiarity with cloud platforms, GitHub, CI/CD pipelines, k8s, containerization, or Linux environments.
• Experience with data visualization and product development frameworks such as Streamlit, Power BI, or similar technologies.
• Experience in pharmaceutical, biotechnology, healthcare, quality, compliance, or R&D portfolio analytics.
• Demonstrated interest in reproducing and implementing state-of-the-art AI and machine learning research.

Details

• Location: Remote, USA.
• Resume review begins in October 2026.
• Base compensation range: $29.00-$29.00 per hour.
• Job level: Internship.