R&D Access & Use Evidence Generation AI Use Case Delivery - Grad Intern

Career Category

Job Description

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. 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.

R&D Access & Use Evidence Generation AI Use Case Delivery - Grad Intern

What You Will Do

Let’s do this. Let’s change the world. During this program, you will [support strategic exploration of artificial intelligence (AI) opportunities within the Access & Evidence Generation ecosystem. This internship will focus on identifying, structuring, and prioritizing AI use cases across real-world evidence (RWE), payer evidence generation, evidence operations, evidence strategic planning and performance management. The intern will conduct a structured assessment of current-state processes and future-state opportunities, developing end-to-end AI use case scenarios and associated business cases. This role is conceptual and strategic in nature and does not require model development or software engineering. It is well suited for a graduate student with strong analytical thinking, business acumen, and interest in applied AI in a regulated life sciences environment].

• Assess the current state of Access & Evidence Generation processes, including RWE generation, payer evidence, evidence operations, and strategic planning.
•  Identify and articulate AI opportunity areas across the evidence lifecycle (e.g., automation, augmentation, decision support, optimization).
•  Develop end-to-end AI use case scenarios, including: Problem statement and business context, Target users and workflows
• AI capability description (e.g., predictive analytics, NLP, decision intelligence)
• Expected value and outcomes
• Assumptions, dependencies, and constraints
•  Create business cases for proposed AI use cases, including: Value drivers (efficiency, quality, scalability, decision impact)
• Qualitative and, where possible, quantitative benefit estimates
• High-level feasibility and risk considerations (data, governance, compliance)
• Conduct use case prioritization based on value, feasibility, and strategic alignment.
• Synthesize findings into clear, executive-ready deliverables, including written analyses and presentation materials.
• Collaborate with Medical Affairs Operations and relevant stakeholders to validate assumptions and refine recommendations.

What We Expect of You

We are all different, yet we all use our unique contributions to serve patients. The individual we seek is deeply excited about AI and solving manual workflow with automation using AI. They are creative, curious and self-motivated.:

Basic Qualifications:

Amgen requires that all individuals applying for a grad internship at Amgen must meet the following criteria:

• 18 years or older
• Graduated with a bachelor’s degree from an accredited college or university
• Currently enrolled in an MBA program for an MBA internship OR a Master’s program for a Master’s internship OR a PharmD program for a PharmD internship OR Ph.D. for a PhD internship from an accredited college or university and 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
• Must not be employed at the time the internship starts
• Student must be located in the United States for the duration of the internship.

Preferred Qualifications:

• Experienced with ‘use case’ development, in a graduate program focused on data science/analytics
• Familiarity with one or more of the following: Real-world evidence (RWE) or Health Economics outcomes research (HEOR),Market access or payer evidence generation, Medical Affairs or evidence operations
• Exposure to AI concepts such as machine learning, natural language processing, or decision intelligence (conceptual understanding sufficient).
• Experience developing business case