[Hiring] Co-op, Machine Learning Engineering @Biogen

Role Description

This application is for a 6-month student role from January - June 2027. Resume review begins in October 2026.

As a co-op on the Data Science and Applied Machine Learning team focused on Digital Health Technologies (DHT) and Product Development/Readiness, you will contribute to the development, integration, and testing of emerging technology products.

• Your primary focus will be hands-on development engineering for products integrating sensor, algorithmic, and agentic technologies.
• You will gain exposure to the broader work of bringing digital health technologies and other technical capabilities toward product readiness.

Day to day:

• Write and test code for agent backend components, APIs, and tool integrations.
• Investigate technical issues, review outputs from partner teams, and document what you find.

End to end:

• Learn how technical components are developed, integrated, tested, and assessed for product use.
• With guidance, translate requirements into implementation and testing tasks and communicate results to the team.

Deliverable:

• Contribute a backend component, integration, prototype, or testing tool, supported by documented code, test results, known limitations, and recommended follow-up work.
• The team will determine product readiness and next steps.

Example projects may include:

• Agent backend and harness: Help build services or utilities that connect an agent to tools, manage execution, capture results, and support repeatable testing.
• DHT data integration: Help test how data from a digital health technology is received, structured, and checked for completeness or consistency.
• Model-to-product integration: Assist in connecting a model or algorithm developed by another team to a product component, and test its interface, outputs, and error handling.
• Readiness support tools: Build automated checks or utilities that help the team review test results, defects, and technical dependencies.

Qualifications

• Pursuing a degree in computer science, software engineering, data science, biomedical engineering, or a related field.
• Experience programming in Python or another relevant language.
• Applied software development, data analysis, or machine learning skills through coursework, research, personal projects, or prior work.
• Familiarity with Git, APIs, backend development, or automated testing is helpful.
• Interest in AI agents and curiosity about how digital health technologies and other technical capabilities become reliable products.
• Ability to explain work clearly, document findings, and collaborate with diverse expertise.

Requirements

• 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.

Education Requirements

• Currently pursuing a Bachelor’s, Master’s, or PhD in computer science, software engineering, data science, biomedical engineering, or a related field.

Benefits

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