Grad Intern – Data Scientist – Technology, AI & Data (Summer 2027)
Skills
About this role
Job Title: Grad Intern – Data Scientist – Technology, AI & Data (Summer 2027)
Job Location: Washington D.C., District of Columbia, United States
Job Location Type: Remote
Job Contract Type: Full-time
Job Seniority Level:
Join Amgen’s Mission of Serving Patients
At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.
Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
Grad Intern – Data Scientist – Technology, AI & Data (Summer 2027)
What You Will Do
Let’s do this. Let’s change the world. During this internship, you will acquire the valuable hands-on skills and foundational experience needed to become a professional in your chosen field.
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 may 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