• Lead AI solution strategy across multiple projects and teams. • Drive innovation in AI solution design and architecture. • Represent the AI solutions team in executive meetings. • Develop long-term plans for AI solution strategies.

• Collaborate with ML engineers and data platform teams to design, implement, and maintain the feature store architecture for both offline (batch) and online (real-time) use cases. • Identify, define, and engineer high-quality features from various raw data sources (databases, APIs, streaming data) using statistical analysis and domain knowledge. • Partner with database administrators, clinical experts, data scientists, ML engineers, and business stakeholders to promote feature reuse, define governance standards, track feature lineage, and ensure data consistency across models. • Build and optimize ingestion and transformation pipelines using distributed data frameworks to populate the feature store, ensuring data accuracy, reliability, and freshness. • Generate training and testing datasets from the feature store and work with ML engineers to ensure seamless feature serving for model inference in production environments. • Develop monitoring and alerting frameworks to track feature data quality, integrity, and latency, proactively identifying and resolving issues. • Document feature definitions, data sources, and usage best practices, and effectively communicate complex technical concepts and insights to technical and non-technical audiences.

• Gain hands-on experience in the biopharmaceutical industry during a 10 to 12-week program • Participate in team projects tied to strategic and tactical goals • Collaborate with cross-functional partners for data-driven solutions • Perform exploratory data analysis and communicate findings • Develop technical and analytical skills while providing insights

• 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