Sr. Data Scientist – Analytics Applications & Decision Support

Career Category

Clinical Development

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 cutting edge of innovation, using technology and human genetic data to push beyond what is known today.

ABOUT THE ROLE

Role Description

Global Supply Chain (GSC) is accountable for orchestrating end-to-end supply chain strategies and operations that ensure reliable, timely delivery of medicines to patients — powered by data, innovation, and enterprise-wide collaboration.

As part of our team expansion at Amgen India, Global Supply Chain is seeking a Sr. Data Scientist – Analytics Applications & Decision Support to rapidly prototype, build, and deliver user-facing analytics applications, interactive decision-support tools, and visual analytics experiences for clinical and commercial supply chain processes.

This role will combine data science, front-end analytics application development, visualization, cloud technologies, API integration, and product-oriented delivery. The ideal candidate is a versatile technical data scientist who can translate business concepts into intuitive working solutions, build interactive user experiences, contribute across front-end and back-end components when needed, and create practical tools that improve supply chain visibility, decision-making, and operational execution.

ROLES & RESPONSIBILITIES

Responsibilities will include, but are not limited to:

• Rapid prototyping and analytics application development: Quickly translate business concepts, scientific questions, and product ideas into working prototypes, interactive analytics applications, and user-facing decision-support tools.

• Decision-support and visual analytics delivery: Build a wide range of data and analytics solutions, from descriptive to prescriptive analytics, including dashboards, visual analytics, interactive interfaces, and decision-support tools.