Apply on Employer Site

Amgen · 17 hours ago

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

United States

Internship

Remote

Intern

$30/hr - $40/hr

Amgen is a biotechnology company dedicated to serving patients living with serious illnesses. They are seeking a Graduate Intern to support the exploration of artificial intelligence opportunities within the Access & Evidence Generation ecosystem, focusing on identifying and prioritizing AI use cases to enhance evidence generation processes.

BiotechnologyHealth CareManufacturingPharmaceutical

Comp. & Benefits

No H1B

Responsibilities

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

Qualification

AI opportunity identificationUse case developmentBusiness case creationReal-world evidence (RWE)Health Economics outcomes research (HEOR)Machine learningNatural language processing (NLP)Analytical thinkingBusiness acumenCreative problem solvingCollaboration

Required

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

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 cases, strategy frameworks, or process analyses

Comfort working in ambiguous problem spaces and structuring open-ended questions

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.