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How might you defy imagination? If you feel like you're part of something bigger, it's because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world's leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It's time for a career you can be proud of. Join us.
Job Responsibility
Partner with Global Programming Leads (GPL) and lead a large offshore team of Study Lead Programmers (SLP) and Study Programmers (SP) to successfully execute end-to-end programming activities for all studies and global regulatory approval submissions for large, high priority products or indications across products
Accountable and responsible for Global Statistical Programming study results and submission activities for the assigned products or indications across products
Contribute at the department level by leading major GSP technical or operational efficiency initiatives and ensuring compliance with R&D standards
Lead or serve as a member of GSP and cross functional consultancy groups such as Submission Consultancy Group and ADaM Consultancy Group
Drive the piloting and integration of new technologies, including artificial intelligence, statistical programming automation tools, and open-source platforms to improve quality and efficiency across the organization
Requirements
BA/BSc or higher degree in biostatistics, statistics, mathematics, computer science, or other related quantitative or scientific subjects, with at least 16 years of statistical programming experience in clinical development environment
Strong technical, communication, and leadership skills
Ability to lead and manage a large team of programmers in successful and timely completion of all programming activities for highly complex studies and regulatory submissions
Experience developing a successful offshore statistical programming team
Flexibility and desire to work across different time-zones
Advanced analysis and reporting skills in SAS (including SAS/STAT, Macro, Graph, SQL, and others) or R
Prior regulatory submission experience for approval
Thorough understanding and experience with data quality and compliance checks
Experience working effectively in a globally dispersed team environment with cross-cultural partners
Prior staff development leadership and project management experience
Excellent oral and written English communication skills
Ability to effectively perform complex statistical programming and related tasks
Nice to have
MSc or higher degree in statistics, biostatistics, mathematics, or related quantitative or scientific subjects
Familiarity with open-source programming tools (e.g., R, Python), automation platforms, and emerging technologies in statistical programming