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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.
Job Responsibility:
Support the execution of analytics and modeling projects across therapeutic area (TA) delivery and/or investment analytics teams
Assist in data preparation, exploratory analysis, metric tracking, and performance reporting with high accuracy
Help maintain and operationalize dashboards or reusable code assets in Databricks or Python/SQL environments
Contribute to project delivery by partnering with senior data scientists and leads on model building, testing, and result summaries
Support documentation, version control, and deployment practices using standardized platforms and tools
Stay curious — continuously learn about methods such as marketing mix modeling, predictive modeling, A/B testing, and causal inference
Requirements:
Bachelor’s or Master’s in Data Science, Engineering, Statistics, or a related quantitative field
3–5 years of experience in analytics, modeling, or data science delivery
Working knowledge of Python and SQL
comfort working in Databricks or similar environments
Experience with data visualization and performance metric tracking
Strong attention to detail and a focus on delivering high-quality, reproducible work
Nice to have:
Exposure to marketing mix modeling, predictive modeling, or experiment-based analytics
Interest in life sciences, healthcare, or pharma analytics environments
Familiarity with tools such as MLflow, Git, or Jupyter notebooks
Demonstrated ability to collaborate with analysts, engineers, or business partners to get things done