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Do you want to make an impact on patient health around the world? Do you thrive in a fast-paced environment that brings together scientific, clinical, and commercial domains through engineering, data science, and AI? Then join our client’s Artificial Intelligence, Data, and Advanced Analytics organization (AIDA) where you can leverage cutting-edge technology to inform critical business decisions and improve customer experiences for their colleagues, patients and physicians. Their collection of engineering, data science, and AI professionals are at the forefront of Pfizer’s transformation into a digitally driven organization that leverages data science and AI to change patients’ lives. The Data Science Industrialization team within Data Science Solutions and Initiatives is a critical driver and enabler of Pfizer’s digital transformation, leading the process and engineering innovation to rapidly progress early AI and data science applications from prototypes and MVPs to full production.
As the AI and Data Science Frontend Engineering Lead, you will be a leader within the Data Science Industrialization team charged with driving the development of web application frontends, particularly those focused on AI use cases. Your responsibilities will span both technical leadership and hands-on development. You will lead a global team and partner with cross-functional business stakeholders and Digital leaders to catalyze identification, design, iterative development, and continuous improvements of web applications that enable use case delivery. Your team will develop best practices and maintain standards for frontend application development. Your team will be accountable to key Pfizer business functions (including Pfizer Biopharma, R&D, PGS, Oncology, and Enabling Functions) for developing Web solutions that support business objectives across all of Pfizer’s core business units.
Role Responsibilities
Qualifications
Must-Have
Nice-to-Have
Work Location Assignment: Flexible
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