Value & Access Insights Associate Director

Amgen

Value & Access Insights Associate Director leading insights analytics for patient support programs at Amgen. Collaborating across teams to optimize strategies impacting patient access and affordability.

Posted 4/28/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $192,419 - $260,331 per yearWebsite

Tech Stack

Tools & technologies

AirflowAWSAzureCloudDockerKubernetesPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Define and develop road map for CAPAI with expansion into other therapeutic areas
Business ownership of one of the platforms, CAP-AI – Rollout / upgrades and expansion
Partner with Patient Access and Reimbursement (PAR) team and Brand Marketing teams to build and prioritize analytics and insights plan in support of PSP strategy
Provide strategic guidance and manage a global team in USA and AIN within V&A organization
Through detailed analysis, Monitor the current program objectives and provide recommendations to PAR SLT on the optimal design changes
Drive analytics / insights and integrate multiple data sources to identify potential impact of any policy changes from the government, market events like M&A and other interconnected events
Constructively challenge teams by providing disconfirming information and encouraging innovative problem solving
Understand pharmaceutical ecosystem and data sets including medial and pharmacy claims (ex. IQVIA LAAD, Symphony Claims), prescription (ex. IQVIA NPA), outlet (ex. IQVIA DDD)
Prepare, continuously refine and present periodic reports tracking product and portfolio performance of PSP programs against business objectives
Execute analytics plan to generate insights from various internal and external datasets based on detailed understanding of related datasets i.e Patient level claims data; Payer claims data; Formulary coverage; Specialty Pharmacy Data
Constructively challenge teams by providing disconfirming information and encouraging innovative problem solving
Build and maintain strong relationships with cross functional partners; proactively seeks buy-in and provides ongoing support to address business needs
Perform advanced analytics including longitudinal patient level analysis, time series modeling, customer segmentation and issue diagnostics in support of business questions
Create data analytics models to generate strategic actionable business insights using SQL, R, Python and Microsoft Excel

Requirements

What you’ll need

Doctorate degree and 3 years of relevant experience OR Master’s degree and 5 years of relevant experience OR Bachelor’s degree and 7 years of relevant experience OR Associate’s degree and 12 years of relevant experience OR High school diploma / GED and 14 years of relevant experience
Prior experience in contracts and pricing, direct payer experience or value marketing and have a good foundational understanding of the US payer environment and a strong foundation in the U.S. healthcare market
Excellent conceptual problem-solving skills with demonstrated ability to bring structure to vaguely defined problems, pragmatic problem-solving approach, and manage execution
Exceptional written/oral communication skills and executive presence across functions and across different levels of leadership
Authoritative command of complexity and ambiguity; ability to see the big picture; ability to collect, digest and assemble information to enable relevant business analyses
Strong leadership skills with a demonstrated ability to influence different styles
8+ years of healthcare experience in the biopharmaceutical industry, health care, and/or strategy consulting with specific experience and expertise in coverage, access and reimbursement drivers impacting the biopharmaceutical industry
High degree of analytical and problem-solving skills
Exhibits strong understanding of business strategies
Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow)
Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
Knowledge of NLP techniques for text analysis and sentiment analysis
Experience in analyzing time-series data for forecasting and trend analysis
Experience with AWS, Azure, or Google Cloud
Experience with Databricks platform for data analytics and MLOps

Benefits

Comp & perks

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions
group medical, dental and vision coverage
life and disability insurance
flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models where possible

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLRPythonlongitudinal patient level analysistime series modelingcustomer segmentationissue diagnosticsdata analytics modelsNLP techniquesforecasting

Soft Skills

conceptual problem-solvingwritten communicationoral communicationexecutive presenceleadershipinfluenceanalytical skillsproblem-solvingrelationship buildingstrategic thinking