Co-op, Data Science & AI Innovation

Biogen

2d•Onsite

About The Position

This application is for a 6-month student role from January - June 2027. Resume review begins in October 2026. Portfolio Data & Digital Innovation (PDDI) is a multidisciplinary team dedicated to transforming how Development leverages data, technology, and artificial intelligence to make faster, better-informed decisions. We bring together expertise in portfolio analytics, data management, AI/ML innovation, Planisware technology, and digital product delivery to create scalable solutions that improve portfolio visibility, streamline operations, and accelerate decision-making. Through initiatives such as Project FORWARD, AI-powered automation, portfolio intelligence tools, and a connected data foundation, PDDI partners across Development, Finance, IT, and other functions to drive innovation, strengthen governance, and enable a more data-driven and agile organization.

Requirements

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.
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.

Nice To Haves

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.

Responsibilities

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.