Analysis and reporting of clinical trial data using SAS and/or R or Python
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
Design, build, and maintain programming solutions and tools that improve efficiency and quality across statistical programming ecosystems.
Contribute to the full development lifecycle—from requirements gathering and design through testing, deployment, and maintenance.
Collaborate with programming teams across center for design and analysis (CfDA) to identify process gaps and prototype scalable solutions using modern programming practices.
Support federated innovation—integrating ideas and code contributions from other programming teams into unified, CfDA-wide solutions.
Automate repeatable programming tasks and establish standards for modular, reusable code.
Leverage AI and machine learning capabilities, including developing and deploying AI agents or copilots, to optimize programming workflows and knowledge sharing.
Create and maintain clear, version-controlled documentation, training materials, and user guides to enable sustainable adoption of new tools.
Participate in ongoing evaluation and enhancement of tools, ensuring continued performance, security, and relevance.
Collaborate with cross-functional partners to align innovations with business needs and technical standards.
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
Bachelor’s or higher degree in biostatistics, statistics, mathematics, AI and data science, 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
Familiar with data quality and compliance check tools
Excellent oral and written English communication skills
Preferred Skills
Masters or higher degree in statistics, biostatistics, mathematics, AI and data science, computer science or related quantitative or scientific subjects
Familiarity with open-source programming tools (R, Python), automation platforms, and emerging technologies in statistical programming
Experience developing or maintaining solutions through a structured software development lifecycle (SDLC).
Experience
SAS macro development
R/Python Package development
Working knowledge of version control (e.g., Git) and collaborative coding practices.
Familiarity with AI and machine learning frameworks (e.g., OpenAI API, or custom model training).
Building or implementing AI-driven programming assistants, copilots, or agents for workflow optimization.
Working knowledge of Agile project management and collaborative development environments.
Competencies
Strong programming (e.g., SAS, R, SQL, Python) and analytic skills
Innovation and problem solving
Strong documentation and communication skills
Collaboration and teamwork across functions
Organization and follow-through in structured projects
AI and automation mindset
Learning agility and curiosity
Thrive
What you can expect of us
As we work to develop treatments that take care of others, so we work to care for our teammates’ professional and personal growth and well-being.
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
.
