HOW MIGHT YOU DEFY IMAGINATION?
If you feel like youâre part of something bigger, itâs because you are. At Amgen, our shared missionâto serve patientsâdrives all that we do. It is key to our becoming one of the worldâs leading biotechnology companies. We are global collaborators who achieve togetherâresearching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. Itâs time for a career you can be proud of.
Live | What you will do
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 â continuously learn about methods such as marketing mix modeling, predictive modeling, A/B testing, and causal inference.
Thrive | What you can expect
As we work to develop treatments that take care of others, we also work to care for our teammatesâ professional and personal growth and well-being.
Basic Qualifications
Bachelorâs or Masterâs in Data Science, Engineering, Statistics, or a related quantitative field.
5â8 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.
Preferred Qualifications
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.
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