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Do you want to make a global impact on patient health? Do you thrive in a fast-paced environment that integrates scientific, clinical, and commercial domains through engineering, data science, and AI? Join Pfizer Digital’s Commercial Creation Center & CDI organization (C4) to leverage cutting-edge technology for critical business decisions and enhance customer experiences for colleagues, patients, and physicians. Our team of engineering, data science, and AI professionals is at the forefront of Pfizer’s transformation into a digitally driven organization, using data science and AI to change patients’ lives. The Commercial Analytics AI Solutions and Engineering team is a key driver of Pfizer’s digital transformation, leading process and engineering innovations to advance AI and data science applications from prototypes and MVPs to full production.
Job Responsibility:
Contribute to the end-to-end build and deployment of data science and analytics products and AI modules
Develop server-side logic using back-end technologies such as Python
Contribute to the implementation of data ETL pipelines using Python and SQL
Build web applications with JavaScript frameworks
Build data visualizations and data applications to enable data exploration and insights generation
Maintain infrastructure and tools for software development and deploying using IaC tools
Automate processes for continuous integration, delivery, and deployment (CI/CD pipeline) to ensure smooth software delivery
Implement logging and monitoring tools to gain insights into system behavior
Collaborate with data scientists, engineers, and colleagues from across Pfizer to integrate AI and data science models into production solutions
Build data visualizations and data applications to enable data exploration and insights generation (e.g, Tableau, Power BI, Dash, Shiny, Streamlit, etc.)
Stay up-to-date with emerging technologies and trends in your field
Requirements:
Contribute to the end-to-end build and deployment of data science and analytics products and AI modules
Develop server-side logic using back-end technologies such as Python
Contribute to the implementation of data ETL pipelines using Python and SQL
Build web applications with JavaScript frameworks
Build data visualizations and data applications to enable data exploration and insights generation
Maintain infrastructure and tools for software development and deploying using IaC tools
Automate processes for continuous integration, delivery, and deployment (CI/CD pipeline) to ensure smooth software delivery
Implement logging and monitoring tools to gain insights into system behavior
Collaborate with data scientists, engineers, and colleagues from across Pfizer to integrate AI and data science models into production solutions
Stay up-to-date with emerging technologies and trends in your field