Role Description
Join Amgen’s Mission of Serving Patients. 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.
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Assess the current state of Access & Evidence Generation processes, including RWE generation, payer evidence, evidence operations, and strategic planning.
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Identify and articulate AI opportunity areas across the evidence lifecycle (e.g., automation, augmentation, decision support, optimization).
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Develop end-to-end AI use case scenarios, including:
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Problem statement and business context
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Target users and workflows
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AI capability description (e.g., predictive analytics, NLP, decision intelligence)
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Expected value and outcomes
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Assumptions, dependencies, and constraints
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Create business cases for proposed AI use cases, including:
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Value drivers (efficiency, quality, scalability, decision impact)
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Qualitative and, where possible, quantitative benefit estimates
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High-level feasibility and risk considerations (data, governance, compliance)
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Conduct use case prioritization based on value, feasibility, and strategic alignment.
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Synthesize findings into clear, executive-ready deliverables, including written analyses and presentation materials.
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Collaborate with Medical Affairs Operations and relevant stakeholders to validate assumptions and refine recommendations.
Qualifications
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18 years or older
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Graduated with a bachelor’s degree from an accredited college or university
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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
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Enrolled in an accredited college or university following the potential internship
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Must not be employed at the time the internship starts
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Student must be located in the United States for the duration of the internship.
Requirements
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Experienced with ‘use case’ development, in a graduate program focused on data science/analytics
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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
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Exposure to AI concepts such as machine learning, natural language processing, or decision intelligence (conceptual understanding sufficient)
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Experience developing business cases, strategy frameworks, or process analyses
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Comfort working in ambiguous problem spaces and structuring open-ended questions
Benefits
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The base pay range for this opportunity in the U.S. is $30-$40 per hour
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Build a network of colleagues that will endure and grow throughout your time with us and beyond.
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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.
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Participate in executive and social networking events, as well as community volunteer projects.