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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
Job Responsibility:
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
Requirements:
Master’s degree in computer science, statistics or STEM majors with a minimum of 8 years of Information Systems experience
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
Nice to have:
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