Senior Manager - Value & Access Insights

Sr Manager GTN Innovation

Career Category

Government Affairs

Job Description

Job Description

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’s known today. 

ABOUT THE ROLE 

Role Description: 

As a Senior Manager – V&A Insights, you will be responsible for leading team to develop and deploy advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. This role under supervision of Director Value and Access Insights creates analytics solutions to address customer needs and opportunities

Roles & Responsibilities:  

• Provide oversight to a team of Managers, Business analysts, data scientists and engineers on developing and deploying AI solutions
• Assume the role of business owner and manage the Proprietary AI algorithms built to support Copay, Patient support, Gross to Net programs and other aspects of US value and access ecosystem
• Identify Opportunity areas within US commercial organizations to leverage AI/ML into driving revenue and optimization
• Cross Collaborate with US Commercial and Technology functions for expansion and continued Optimization
• Accountable to drive full lifecycle of Data Science projects delivery and ability to guide data scientists in shaping the developing solutions and act as a subject matter expert in solving development and commercial questions
• Own the end-to-end AI Product roadmap: from performance tracking and Strategic design recommendations using predictive modeling and opportunity sizing.
• Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
• Summarize and Present insights to Cross functional executive leadership
• Oversee a team of 8-10 Data scientists including managers and senior associates, including setting performance standards, managing their staffing, and monitoring performance
• Lead Development and integration custom applications, intelligent dashboards, and automated workflows that incorporate AI capabilities to enhance decision-making and efficiency
• Serve as the AI/ML subject matter expert within Value & Access. 

Functional Skills: 

Must-Have Skills  

• Foundational understanding of US pharmaceutical ecosystem and Patient support services offerings (Copay) and other standard data sets including claims, prescription 
• Experience with one or more analytic software tools or languages like R and Python
• Strong foundation in machine learning algorithms and techniques
• Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification

Professional Certifications

• Any AWS Developer certification (preferred) 
• Any Python and ML certification (preferred) 

Basic Qualifications:

• Master’s degree in computer science, statistics or STEM majors with a minimum of 8 years of Information Systems experience OR 
• Bachelor’s degree in computer science, statistics or STEM majors with a minimum of 10 years of Information Systems experience.
• Strong understanding of US pharmaceutical ecosystem and Patient support services offerings (Copay) and other standard data sets including claims, prescription
• Experience with one or more analytic software tools or languages like R and Python
• Strong foundation in machine learning algorithms and techniques

Preferred Qualifications:

• 3-5 years of pharmaceutical or biotech industry experience, ideally with hands-on involvement in Gross-to-Net (GTN), revenue forecasting, product launches, and commercial strategy support
• Experience in leading data science projects and managing large teams
• Knowledge of NLP techniques for text analysis and sentiment analysis
• Experience in analyzing time-series data for forecasting and trend analysis
• Experience with Databricks platform for data analytics and MLOps Experience with AWS, Azure, or Google Cloud

Soft Skills: 

• Initiative to explore alternate technology and approaches to solving problems. 
• Skilled in breaking down problems, documenting problem statements, and estimating efforts. 
• Excellent analytical and troubleshooting skills. 
• Strong verbal and written communication skills 
• Ability to work effectively with global, virtual teams 
• High degree of initiative and self-motivation. 
• Ability to manage multiple priorities successfully.  
• Team-oriented, with a focus on achieving team goals 

EQUAL OPPORTUNITY STATEMENT 

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. 

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. 

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Experience Level

Senior Level