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Amgen is seeking a Senior Associate Biostatistical Programmer to join CfOR in Taiwan. This role supports generating RWE through hands-on programming, data management, and generating reports based upon real-world data of health care. The programmer will partner with epidemiologists and cross-functional teams to clarify requirements, resolve issues, and deliver high-quality outputs.
Job Responsibility:
Develop, test, validate, and execute programming code and macros that generate analysis datasets and tables, listings, and figures to support decision making in drug development
Lead and develop technical programming and process improvement initiatives within CfOR
Represent the programming team and collaborate with peers in clinical and epidemiology functions
Manage programming activities and provide technical solutions to programming issues
Ensure programming activities adhere to departmental standards and SOPs as well as local compliance and regulatory standards
Write and review programming plans and dataset specifications
Review key study-related documents including but not limited to statistical analysis plans (SAPs) and data management plans (DMPs)
Participate in the development of departmental policies and controlled documents
Participate in the recruitment of programming staff
Actively participate in external professional organizations, conferences, and meetings
Contribute to the continuous improvement of programming processes
Requirements:
Master’s degree in Computer Science, Statistics, Mathematics, Life Sciences, Business Analytics, or related field OR
Bachelor’s degree and 2 years of directly related experience OR
Associate’s degree and/or 4 years of directly related experience OR
High school diploma / GED and 6 years of directly related experience
At least four (4) years of relevant statistical programming experience in a clinical development or life sciences setting, including postgraduate research experience
Experience in SQL, and statistical programming using SAS and R
Track record establishing analysis standards, QC/QA processes, and controlled change management.
Experience or willingness to learn the process of delivering regulatory-grade analyses and submission-ready deliverables
Foundational understanding of medical statistics (e.g., study design, hypothesis testing, confidence intervals).
Real-world evidence (RWE) generation in pharmaceutical or related research industries, or statistical programming for clinical trials
Strong individual contributor, proficient in developing analysis datasets, identifying data anomalies, and ensuring program accuracy
Motivated to learn how to work with real-world healthcare data (RWD) such as MDV and DeSC
Experience with Git-based version control and maintaining analysis documentation.
Ability to produce validated, traceable, and reproducible analysis outputs under SOPs and quality systems.
What we offer:
Vast opportunities to learn and move up and across our global organization
Diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table and act
Generous Total Rewards Plan comprising health, finance and wealth, work/life balance, and career benefits