
Grad Intern – Amgen Technology & Medical Organizations (Summer 2026)
- USA
- $30.00-40.00 per hour
- Training
- Full-time
- 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
- Developing, testing, debugging, and detailing components of applications
- Developing project plans
- Transforming basic business processes into programming logic
- 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.
- 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
- 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
- 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
- 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
- Build a network of colleagues that will endure and grow throughout your time with us and beyond.
- Bring your authentic self to the table and become the professional you’re inspired to be through accepting a culture that values the diversity of thought and experience and will flex to your strengths and possibilities.
- Participate in executive and social networking events, as well as community volunteer projects.