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Undergrad Intern – Data Scientist – Amgen’s Technology & Medical Organizations; Summer

Job in Thousand Oaks, Ventura County, California, 91362, USA
Listing for: Amgen Inc. (IR)
Full Time, Seasonal/Temporary, Apprenticeship/Internship position
Listed on 2026-09-14
Job specializations:
  • IT/Tech
    Data Scientist, Data Engineering, Machine Learning/ ML Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 25 - 33 USD Hourly USD 25.00 33.00 HOUR
Job Description & How to Apply Below
Position: Undergrad Intern – Data Scientist – Amgen’s Technology & Medical Organizations (Summer 2027)

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.

Undergrad Intern – Data Scientist – Amgen’s Technology & Medical Organizations (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
Program Eligibility Requirements
  • Expected completion of one year of study from an accredited college or university prior to the internship commencing
  • Expected continued enrollment in an accredited college or university following the internship program
  • Student must be located in the United States for the duration of the internship program
  • Must be available to work a full‑time schedule.
  • Must be available to accept and commit to future full‑time employment by July 2028, if offered
What We Expect of You

We are all different, yet we all use our unique contributions to serve patients. The passionate and driven individual we seek exemplifies the following qualifications:

Basic Qualifications
  • Amgen requires that all individuals applying for an undergrad internship or a co‑op assignment at Amgen must meet the following criteria: 18years or older
  • Currently enrolled in a full‑time Bachelor’s Degree program from an accredited college or university with a 3.0 minimum GPA or equivalent
Preferred Qualifications
  • Degree concentration(s) in Information Technology, Computer Science (e.g., CS, CPE, SE), Engineering, Business, or related field 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 operate independently, across functional…
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