Co-op, Data Science, AI Innovation

Biogen

. Collaborate with data scientists, portfolio analysts, and subject matter experts to develop and deploy innovative AI and analytics solutions .

Posted 9/24/2026internshipRemote • United StatesEntry Level💰 $29 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates proficiency in Python, R, and SQL for data science and analytics, with a strong foundation in machine learning, statistics, and data analysis. Capable of developing scalable data pipelines, predictive analytics, and decision-support models while effectively communicating technical concepts to diverse audiences.

Highest-signal resume keywords

Python ProgrammingMachine LearningData Pipeline DevelopmentSQL ProficiencySnowflake Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningPredictive AnalyticsData AnalysisETL ProcessesNLPDeep LearningData ModelingStatistical AnalysisDecision-Support ModelsGenerative AI

Soft Skills

Problem-SolvingCollaborationCommunication

Tools & Technologies

PyTorchTensorFlowHugging FaceDatabricksCloud Data Warehousing

Industry Keywords

Pharmaceutical R&DData EcosystemPortfolio ManagementOperational IntelligenceAI Technologies

Tech Stack

Tools & technologies

CloudETLPythonPyTorchSQLTensorflow

About the role

Key responsibilities & impact

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 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 for pharmaceutical R&D
Partner with Development, Portfolio Management, and Operations stakeholders to understand business needs and deliver scalable solutions
Contribute to the design and maintenance of data pipelines, AI platforms, and software products supporting enterprise decision-making
Promote responsible AI practices, model transparency, and continuous learning through experimentation and innovation
Build AI agents for portfolio reporting, risk identification, and data reconciliation workflows
Develop predictive and prescriptive analytics for portfolio prioritization and strategic planning
Develop scalable data pipelines and ETL processes integrating enterprise platform data
Support the design, optimization, and governance of Biogen’s Snowflake-based data ecosystem
Create machine learning models and decision-support tools for resource forecasting, quality analytics, and operational intelligence
Develop Project FORWARD capabilities connecting data, AI, and workflow automation for portfolio management

Requirements

What you’ll need

This application is for a 6-month student role from January - June 2027
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
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

Benefits

Comp & perks

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