Core Responsibilities
• Deliver high-quality programming outputs within established timelines
• Create and review analysis datasets and reporting outputs to support study deliverables
• Produce exploratory analyses and custom outputs as needed
• Build and maintain reusable code, templates, and tools to support team efficiency
• Contribute to internal standards, documentation, and process improvements
• Stay informed on evolving industry practices and applicable regulatory expectations
Required Experience
• 3 years of experience in a regulated research or clinical data environment
• Bachelor’s degree (or equivalent) in a quantitative, computational, or life science discipline
• Hands-on experience with statistical programming tools such as SAS and R
• Solid understanding of applied statistical methods used in data analysis
• Familiarity with structured data models commonly used in regulated research settings
• Experience using validation or data quality review tools
• Exposure to analysis workflows in a therapeutic research area (e.g., complex or longitudinal data domains)
Preferred Experience
• Working knowledge of Python
• Experience developing interactive data applications or dashboards
• Familiarity with AI-assisted coding tools such as GitHub Copilot or Claude
• Experience contributing to automated or semi-automated data processing pipelines, including workflows that incorporate intelligent task execution or assistance
Skills and Capabilities
• Strong communication skills with the ability to collaborate across technical and non-technical teams
• Understanding of regulatory and technical considerations for data handling and reporting
• Problem-solving mindset with the ability to troubleshoot programming and data-related challenges
