Gain one of a kind hands-on experience to building a proven foundation for a career in the biopharmaceutical industry
Participate in one-week on-site visit in Thousand Oaks, CA with internship cohort
Collaborate with team members and cross-functional partners to deliver insights and data-driven solutions for business questions within predictive analytics, marketing investment optimization, and/or omnichannel marketing
Perform exploratory data analysis and data cleaning, build and evaluate machine learning models, create data visualizations and presentations, and communicate project findings to leadership and business partners
Develop professional, technical, and analytical skills while providing meaningful insights and recommendations for the business
Network with colleagues across the company, including full access to Amgen's Employee Resource Groups, networking/internship events, and an on-site visit to Amgen's headquarters in Thousand Oaks
Potential for full-time offer upon successful completion of program and performance evaluation

Requirements

18 years 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
Completion of one year of study from an accredited college or university prior to the internship commencing
Enrolled in a full-time Bachelor’s degree program following the potential internship or co-op assignment with an accredited college or university
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
Currently completing Bachelors in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, Business Analytics, or other relevant technical field
Graduation in December 2026 or May 2027
Strong programming skills in Python, SQL, and/or R
Familiarity with data science and machine learning-related libraries in Python (Pandas, ScitKit-Learn, TensorFlow, NumPy, etc)
Knowledge or experience with exploratory data analysis, model development and evaluation, data visualization, and presentation of findings
Highly motivated with eagerness to learn and adapt to new subjects
Ability to manage tasks and timelines to successfully meet project goals and objectives

Benefits

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLRexploratory data analysismachine learningdata visualizationmodel developmentmodel evaluationdata cleaningdata-driven solutions

Soft Skills

highly motivatedeagerness to learnadaptabilitytask managementtimeline managementcollaborationcommunication