Undergrad Intern – Amgen Technology & Medical Organizations (Summer 2026)

Career Category

Job Description

HOW MIGHT YOU DEFY IMAGINATION?

Do more with the knowledge you’re working hard to acquire and the passion you already have. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies, reaching over 10 million patients worldwide. Through this program, you will acquire the valuable hands-on skills and foundational experience to become the professional you are meant to be in your chosen field.

Undergrad Intern – Amgen Technology & Medical Organizations (Summer 2026)

Live

This could be your everyday

Let’s do this. Let’s change the world. During this program, you will acquire the valuable hands-on skills and foundational experience needed to become a professional in your chosen field. There are four different opportunities within Amgen’s Technology & Medical Organizations- please only apply for one.

Business Analyst Undergrad Intern- This role translates business needs into system requirements. It requires the skills to clearly capture and articulate the client's needs, partner with the client to identify process improvement, and translate strategies into solutions. Responsibilities could include:

• Drafting and updating project plans; assisting in testing, maintaining, and documenting components of applications
• Following standard policies and procedures in analyzing situations or data from which answers can be readily obtained

Software Engineer Undergrad Intern- This role employs software development, configuration and design techniques that ensure alignment to software development standards, performance efficiency, reliable and maintainable code, and self-documenting programs. Candidates should demonstrate a basic understanding of software development methodologies and techniques. Responsibilities could include:

• Developing, testing, debugging, and detailing components of applications
• Developing project plans
• Transforming basic business processes into programming logic

Data Scientist Undergrad Intern- This role combines knowledge and experience to extract insights from large volumes of data in various forms. Candidates should be able to demonstrate knowledge of advanced statistical techniques to build high performing predictive models and creativity to utilize these skills to address business objectives and client needs. Responsibilities could include:

• Executing/analyzing data analysis and modeling projects from design and processing of data
• Testing new statistical analysis methods, software and data sources for continual improvement of quantitative solutions
• Developing new ways for scientists to utilize data from multiple sources
• Developing automated capability to read unstructured data and convert it to structured content that is available for analysis and modeling

Data Engineer Undergrad Intern- This role requires working closely with product owner/Product Architect and various functional teams to understand the data requirements and implementing data engineering solutions. This position is responsible for design and development of data pipelines to extract, transform, and load data from various data sources in various data format to Enterprise Data Lake. Responsibilities could include:

• Collaborating with lead Architects, Business SMEs and Data Scientists to design and develop end-to-end data pipelines and supporting infrastructure
• Building new infrastructure and analytics tools using Python, SQL and AWS
• Proactively identifying & implement opportunities to automate tasks and develop reusable frameworks; participating in efforts to design, build, and develop rapid Proof-of-Concept (POC) solutions and services

Machine Learning Engineer Undergrad Intern- This role requires you to assist in the design, development, and testing of scalable data pipelines for data ingestion and transformation from multiple data sources into enterprise data lakes and warehouses. Work closely with expert data engineers and scientists to clean, prepare, and analyze structured and unstructured data. Support the development and automation of model training, evaluation, and deployment pipelines. Help explore and analyze pharmaceutical commercial datasets for data-driven insights. Participate in the design of informative visualizations and dashboards for internal stakeholders Learn and apply statistical techniques including hypothesis testing, regression, and classification. Collaborate with the team on implementing and monitoring ML models in production environments. Contribute to the documentation of technical processes, models, and tools. Experiment with new tools and technique