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Amgen is expanding its global Statistical Programming capabilities, with Amgen India (AIN) playing a key role in supporting integrated delivery across regions. As a Biostatistical Programming Senior Associate, you will perform hands on statistical programming activities to support complex statistical data analysis of clinical studies and regulatory submissions.
Job Responsibility:
Analysis and reporting of clinical trial data using SAS and/or R
Creation and validation of complex SDTM, ADaM, and other analysis datasets, both safety and efficacy
Creation and validation of complex tables, listings, and figures, both safety and efficacy
Prepare statistical programming specifications
Prepare statistical programming related documents for regulatory submissions
Maintain tracking and validation documentation
Collaborate with cross-functional team and create and/or validate complex programs for checking data quality
Interact and collaborate with study team members from other functions globally
Assist in some of the tasks of the Study Lead Programmer (SLP) or serve as a backup SLP
Requirements:
BA/BSc or higher degree in biostatistics, statistics, mathematics, computer science, or other related quantitative or scientific subjects
At least 4 years of statistical programming experience in relevant career statistical programming experience in a clinical development environment
Familiarity with drug development life cycle and excellent skills with the manipulation, analysis and reporting of complex clinical trial data
Ability to effectively perform complex statistical programming and related tasks
Ability to provide quality output and deliverables in adherence with challenging timelines
Ability to work effectively on multiple tasks or projects across therapeutic areas
Ability to work effectively and successfully in a globally dispersed team environment with cross-cultural partners
Working knowledge of latest CDISC SDTM standards and familiar with CDISC ADaM and Define standards with strong ability to implement the standards
In depth knowledge of SAS/STAT packages
Familiar with data quality and compliance check tools
Excellent oral and written English communication skills
Nice to have:
MSc or higher degree in statistics, biostatistics, mathematics, or related quantitative or scientific subjects
Familiarity with open-source programming tools (R, Python), automation platforms, and emerging technologies in statistical programming
Prior regulatory submission experience for drug approval
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
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