HOW MIGHT YOU DEFY IMAGINATION If you feel like you re part of something bigger it s because you are At Amgen our shared mission to serve patients drives all that we do It is key to our becoming one of the world s leading biotechnology companies We are global collaborators who achieve together researching manufacturing and delivering ever-better products that reach over 10 million patients worldwide It s time for a career you can be proud of Live What you will do Analyze and generate insights on patient claims to support various cross-functional initiatives like alerts triggers segmentation product indication launches and event prediction for specific brands or therapeutic areas Support the measurement of campaign performance and early signal analytics experiment-based frameworks Translate complex model outputs into clear business-facing summaries to enable decision-making by commercial and brand teams Contribute to the design of pilots A B tests and analytic frameworks to support test-and-learn strategy Understanding of tech stack - Python PySpark and Databricks across large longitudinal datasets Collaborate with brand partners global analytics and engineering teams to ensure seamless model deployment and interpretation Thrive What you can expect As we work to develop treatments that take care of others we also work to care for our teammates skilled and personal growth and well-being Basic Qualifications Master s degree in Data Science Computer Science Public Health or related field 8-12 years of hands-on experience in predictive modeling machine learning or healthcare analytics Strong programming skills in Python and SQL with experience using Databricks or similar platforms Solid grasp of experimentation methods including causal inference uplift modeling and A B testing Experience working with patient-level or longitudinal healthcare data e g claims EMR lab Preferred Qualifications Experience in life sciences pharma or regulated health analytics environments Experience working in rare disease therapeutic areas Experience using LAAD PLD or equivalent claims data sources Understanding of patient journey analytics and use cases such as HCP segmentation or patient triggers Exposure to RAG LLM applications in data science is a plus Strong communication skills and ability to work across technical and business stakeholders