Job description
About the Role:
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.
What You’ll Do:
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.
Who You Are:
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.
Education Requirements
Currently pursuing a Master’s degree in Data Science, Statistics, Bioinformatics, Computer Science, Computational Biology, or related field.
Job Level: InternshipAdditional Information
The base compensation range for this role is: $29.00-$29.00The 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
Why Biogen?
We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives.
At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about Biogen.
All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.