Career Category
Engineering
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 create 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 Pricing and overall GTN programs
Develop and maintain pricing elasticity models, revenue optimization tools, and scenario simulators, Build advanced forecasting models for price setting, competitive entry impact, and lifecycle pricing.
Lead development of dashboards and pricing impact tools in Tableau, Power BI, or similar tools to enable decision-making by non-technical teams.
Summarize and Present insights to Cross functional executive leadership
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
Manage AI tool’s road map, working with a global cross functional team
Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
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
Functional Skills:
Must-Have Skills (Not more than 3 to 4):
Foundational understanding of US GTN 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
Basic Qualifications:
Master’s degree in computer science, statistics or STEM majors with a minimum of 12 years of Information Systems experience OR
Bachelor’s degree in computer science, statistics or STEM majors with a minimum of 15 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
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
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
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 an accommodation.
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