US Value & Access Insights - Mgr
Amgen (company site, opens in a new tab)8+ yrsHyderabadOn-siteDirect career pageEst. 30–50 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead full lifecycle delivery of advanced data science projects, including machine learning, operational research, and statistical methods to solve business and commercial challenges.
- Own and manage the Proprietary AI engine that optimizes Copay Support and supports Value & Access transformation initiatives, ensuring models meet SLA expectations and latest data training.
- Manage and mentor 1-3 associates, collaborate with global cross-functional teams, and develop AI-driven analytics solutions, dashboards, and automated workflows for enhanced decision-making.
Minimum Requirements
- Master's degree in computer science, statistics, or STEM with minimum 7 years experience OR Bachelor's degree in the same fields with minimum 8 years experience in Information Systems.
- Foundational understanding of US pharmaceutical ecosystem particularly patient support services (Copay) and related datasets like claims and prescriptions.
- Proficiency in analytic software/tools such as R and Python, strong foundation in machine learning algorithms and statistical techniques (regression, clustering, classification).
- Work Experience Required: 7-8 years in Information Systems per degree qualifications; Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in developing, deploying, and managing machine learning and AI models specifically in pharma Value & Access context, including Copay Support optimization.
- Skilled in end-to-end applied analytics with understanding of MLOps, DevOps tools, cloud platforms (AWS, Azure, GCP), and/or advanced data engineering.
- Capable of leading small teams and collaborating cross-functionally to translate business needs into technical AI-driven solutions that impact operational workflows.