Manager - Gross to Net Innovation and Data Science

Qualifications Required:

• Foundational understanding of US pharmaceutical ecosystem and Patient support services offerings

• Experience with analytic software tools or languages like R and Python

• Strong foundation in machine learning algorithms and techniques

• Experience in statistical techniques, hypothesis testing, regression analysis, clustering, and classification

• Experience in MLOps practices and tools, DevOps tools, Python, relevant ML libraries, data engineering, NLP techniques, time-series data analysis, cloud platforms, and Databricks

• Any AWS Developer certification (preferred)

• Any Python and ML certification (preferred) In addition, as a Manager GTN Innovation at Amgen, you are expected to possess excellent soft skills including the initiative to explore alternate technology, strong problem-solving abilities, effective communication skills, and the ability to work efficiently with global, virtual teams. Your educational background should include a Masters degree in computer science, statistics, or STEM majors with a minimum of 7 years of Information Systems experience, or a Bachelors degree in the same fields with a minimum of 8 years of Information Systems experience. Individuals with disabilities will be provided with reasonable accommodations during the job application or interview process. If you require any accommodations, please reach out to us to request assistance. As a Manager GTN Innovation at Amgen, you will play a crucial role in developing and deploying advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. Your responsibilities will include driving the full lifecycle of Data Science projects, managing the Proprietary AI engine, and supporting various transformation initiatives within Amgen Gross to Net and other V&A projects. Additionally, you will be accountable for ensuring that models are trained with the latest data, managing the AI tool's roadmap, and collaborating with global cross-functional teams to deliver innovative solutions. Key Responsibilities:

• Drive full lifecycle of Data Science projects delivery and guide data scientists

• Manage the Proprietary AI engine for optimizing Copay

• Support various transformation initiatives within Amgen Gross to Net and other V&A projects

• Ensure models are trained with the latest data and meet SLA expectations

• Manage AI tool's roadmap in collaboration with a global cross-functional team

• Lead technical teams in the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics

• Oversee the efforts of 1-3 associates, including setting performance standards and managing their staffing

• Collaborate with technical teams to translate business needs into technical specifications focusing on AI-driven automation and insights

• Develop and integrate custom applications, intelligent dashboards, and automated workflows incorporating AI capabilities

Qualifications Required:

• Foundational understanding of US pharmaceutical ecosystem and Patient support services offerings
• Experience with analytic software tools or languages like R and Python
• Strong foundation in machine learning algorithms and techniques
• Experience in statistical techniques, hypothesis testin