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

BASIC QUALIFICATIONS

Amgen requires that all individuals applying for a grad internship or a co-op assignment at Amgen must meet the following criteria:

• 18 years or older
• Graduated with a bachelor’s degree from an accredited college or university with a 3.0 minimum GPA or equivalent
• Completion of the first year of MBA OR Master’s OR Pharm D OR Ph.D. program before the internship starts
• Enrolled in an accredited college or university following the potential internship or co-op assignment
• Must not be employed at the time the internship starts
• Student must be located in the United States for the duration of the internship OR co-op

PREFERRED QUALIFICATIONS

• In the process of completing the first year of a Master’s program with concentration in Information Technology, Computer Science (e.g., CS, CPE, SE), Engineering, Business, or related field
• Graduating within 12 months of internship’s completion
• 1 or more years relevant work experience
• Biotechnology, pharmaceutical or health care industry experience
• Intermediate knowledge of Microsoft Word, Excel and Power Point
• Strong interpersonal, project management, analytical and quantitative skills
• Proficient in one of the coding languages (Python, Java, Scala, SQL)
• Detail oriented
• Demonstrated personal initiative, self-motivation, flexibility, adaptability and resourcefulness
• Ability to effectively operate independently, across functional lines, and with both internal and external customers
• Coursework in one or more of the following areas:
• Business Systems analysis, Lean, Agile (SCRUM) and other SDLC processes, Software Development, Database Modeling, Web Design and Development, IT Management, Management of Cloud based application, B2B Collaboration, Enterprise systems such as configuration and management of ERP, CRM systems

Business Analyst Grad 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 obtaine

Software Engineer Grad 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 logi

Machine Learning Engineer Grad 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 experienced 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 techniques in data engineering and ML operations (MLOps). Participate in agile ceremonies such as sprint planning and retrospectives to understand team workflow.

• Foundational experience in Python or R, including use of libraries for data manipulation (e.g., pandas, NumPy), visualization (e.g., matplotlib, seaborn), and machine learning (e.g., scikit-learn, XGBoost).
• Exposure to cloud platforms such as AWS, GCP, or Azure (coursework or personal projects).
• Basic understanding of SQL and experience querying data from relational or big data sources.
• Interest or coursework in NLP, time-series analysis, or statistical modeling.
• Familiarity with version control tools (e.g., Git) and collaborative coding practices.
• Awareness of tools like Databricks, Apache Spark, or Apache Airflow is a plus.
• Strong communication skills to effectively share technical findings with diverse audiences.
• Eagerness to learn from and contribute to a high-performing, cross-functional team

Data Engineer Grad 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 service

Data Scientist Grad 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 modelin