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. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach millions of patients worldwide. It’s time for a career you can be proud of.

The Associate Data Scientist is an entry-level role supporting data science initiatives across Amgen’s portfolio. This role will work closely with Data Science Leads and senior team members to contribute to analytics, modeling, and insight generation, while building strong foundations in applied data science.

• Supportanalytics and data science projectsacross commercial use cases in the Gen Med portfolio
• Assist indata preparation, exploratory analysis, and feature engineeringto enable modeling efforts
• Contribute to development and testing ofpredictive models and analytical frameworksunder guidance of senior data scientists
• Performmetric tracking, performance analysis, and validation checkswith high attention to detail
• Support creation ofinsight summaries, visualizations, and presentationsfor business stakeholders
• Maintain and updatecode, dashboards, and analytical assetsin Python/SQL environments
• Follow best practices fordocumentation, QA, and reproducibility
• Collaborate with team members to meet project timelines and communicate progress effectively
• Engage in continuous learning acrosspredictive modeling, experimentation, and commercial analytics methods

• Structured learning and hands-on experience incommercial data science applications
• Exposure toend-to-end analytics delivery across brands and use cases
• Mentorship from experienced data scientists and opportunities to grow intoindependent contributors
• A collaborative environment focused onlearning, impact, and development

• Bachelor’s or Master’s degree in Data Science, Statistics, Engineering, or a related quantitative field
• 3 years of experience inanalytics, data science, or related roles
• Working knowledge ofPython and SQL
• Strong analytical thinking and problem-solving skills
• Attention to detail and ability to deliverhigh-quality, accurate work

• Exposure topredictive modeling, experimentation, or statistical analysis
• Familiarity withcommercial analytics or marketing performance measurement
• Interest inhealthcare, pharma, or life sciences analytics
• Experience with tools such asJupyter notebooks, Git, or data visualization platforms
• Ability to work collaboratively withcross-functional teams and senior stakeholders
• Strong communication skills and willingness to learn in a fast-paced environment