Co-op, Data Science & AI Innovation

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.

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 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.

Preferred Qualifications:

• 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.

To participate in the Biogen Internship or Co-op Program, students must meet the following eligibility criteria:

• 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.

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

Job Level: Internship Additional Information

The base compensation range for this role is: $29.00-$29.00 The actual hourly wage offered will consider the candidate's current academic level and degree candidacy, inclusive of Associate, Bachelor's, Master's, JD, MD, PhD and MBA programs. It will comply with state or local minimum wage requirements specific to the job location.

In addition to compensation, Biogen offers a range of benefits designed to support our educational employees, including, but not limited to:

• Company paid holidays
• Commuter benefits
• Employee Resource Groups participation
• 80 hours of sick time per calendar year