Associate Data Analytics

Career Category Medical Affairs Job Description ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller, and longer. We discover, develop, manufacture, and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the forefront of innovation, using technology and human genetic data to push beyond what is known today. ABOUT THE ROLE Role Description: The Medical Data Analyst will partner with Global Medical Affairs to deliver data-driven insights that inform scientific engagement, strategic planning, and patient-focused initiatives. In this role, you will independently manage defined analytical assignments, bringing together information from a variety of datasets and translating it into clear, actionable insights. As a contributing member of the Medical Data and Analytics (MD&A) team, you will work closely with cross-functional partners, help ensure analytical quality, and support informed decisions that contribute to improving patient outcomes. Key Responsibilities ·       Translate analytical findings into clear insights and practical recommendations that inform MSL engagement strategies, medical planning, and patient-focused initiatives. ·       Independently conduct analyses on structured and unstructured datasets, including HCP sentiment, scientific engagement, and publication data; validate results and explain key assumptions and limitations. ·       Build, enhance, and maintain dashboards, reports, and visualizations using tools such as Python, R, SQL, Tableau, Power BI, or similar platforms; ensure outputs are accurate, usable, and aligned with stakeholder needs. ·       Apply a working understanding of the pharmaceutical data ecosystem, including prescription data (e.g., IQVIA NPA), outlet data (e.g., IQVIA DDD), lab data, and medical or pharmacy claims (e.g., Symphony Claims), to assess data suitability and limitations for analytical questions. ·       Contribute to defining and monitoring KPIs by assessing performance trends, investigating meaningful changes, and communicating relevant implications to stakeholders. ·       Own scoped ad hoc analyses from clarification of the business question through data preparation, exploratory analysis, interpretation, and communication of findings. ·       Develop and maintain reusable code components, analytical templates, and documentation that improve efficiency, consistency, and scalability of analytics work. ·       Collaborate with data science, IT, engineering, and external partners to coordinate data access, resolve quality issues, and support appropriate governance across systems.