Biostatistical Programming Senior Associate

Key Responsibilities:

• 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

This position will be located at Amgen India (Hyderabad).

Win

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a results-oriented, tech-forward programming leader with deep expertise in clinical trial operations and digital transformation.

Basic Qualifications:

• BA/BSc or higher degree in biostatistics, statistics, mathematics, computer science, or other related quantitative or scientific subjects, with 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

Preferred Skills:

• 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