Senior Statistical Programmer
2 weeks ago
As a Senior Programmer on the Programming Innovations Team , you will play a key role in identifying opportunities for improvement, designing and delivering solutions, and fostering innovation that accelerates real-world data (RWD) analytics across Amgen.
What you will do
In this role, you will:
- Design, build, and maintain programming solutions and tools that improve efficiency and quality across CfORs programming ecosystem.
- Contribute to the full solution development lifecyclefrom requirements gathering and design through testing, deployment, and maintenance.
- Collaborate with programming teams across CfOR to identify process gaps and prototype scalable solutions using modern programming practices.
- Support federated innovationintegrating ideas and code contributions from other programming teams into unified, CfOR-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.
What we expect of you
We are all different, yet we all use our unique contributions to serve patients. This individual contributor programming role will collaborate with teams across multiple time zones to fulfill requests, clarify requirements, escalate issues, and deliver high-quality results. What we seek in you as a professional are these qualifications and competencies:
Basic Qualifications:
- Bachelors degree in Computer Science, Statistics, Mathematics, Life Sciences, or related field.
- At least four (4) years of relevant experience in statistical programming, data engineering, or software development in a life sciences or research setting.
- Proficiency in SAS and/or R, with additional experience in SQL and Python.
Preferred Qualifications:
- Masters degree in Computer Science, Statistics, Data Science, or related field.
- Experience developing or maintaining solutions through a structured software development lifecycle (SDLC).
Experience:
- Working with real-world healthcare data (RWD) such as healthcare claims (e.g., MarketScan, OptumClinformatics, Medicare) and EHR databases (e.g., OptumEHRPanTher, Flatiron, CPRD, MDV)
- Working knowledge of common data model standardization frameworks (e.g., CDISC).
- 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
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