Value and Access Insights Manager

About the role

Amgen's US Value and Access Insights Manager works within a cross-functional analytics insights team, delivering integrated analyses to the US Insights and Coverage and Pricing team. The role focuses on insights that shape payer and IDN strategies, supporting reimbursement strategies through secondary data analytics and data integration. It reports to the Senior Manager, Value & Access Insights team.

Key responsibilities

• Partner with Payer Marketing, Pricing/Contracting and Brand Marketing teams to build and prioritize an analytics and insights plan for Amgen brands.
• Understand the pharmaceutical ecosystem and data sets, including medical and pharmacy claims, prescriptions and outlet data.
• Deliver managed markets analysis covering formulary position, utilization management controls, customer segmentation and sophistication assessment.
• Prepare and present periodic reports tracking product and portfolio performance against business objectives.
• Run analytics on patient-level claims, payer claims, formulary coverage and specialty pharmacy data.
• Oversee 1-3 associates, including performance standards, staffing and performance monitoring.
• Build relationships with cross-functional partners and seek their buy-in.
• Perform advanced analytics such as longitudinal patient-level analysis, time series modeling, customer segmentation and issue diagnostics.
• Create data analytics models using SQL, Python and Microsoft Excel to generate actionable business insights.

Required profile

• Master's degree in computer science, statistics or a STEM major with at least 5 years of Information Systems experience, or a Bachelor's degree with at least 7 years of Information Systems experience.
• 5+ years of healthcare experience in biopharmaceuticals, healthcare or strategy consulting, with experience in coverage, access and reimbursement drivers.
• Preferred: experience with new product or indication launches (especially respiratory disease), analytics of products with medical and pharmacy benefit usage, and prior work in contracts, pricing, direct payer or value marketing.

Required skills

• SQL, Python and Microsoft Excel for data analytics and modeling.
• Advanced analytics including longitudinal patient-level analysis, time series modeling and customer segmentation.
• Strong problem-solving, communication and leadership skills.