BRAIN SCE

BRAIN SCE, developed by Saama, is a comprehensive and unified statistical computing environment designed for clinical programmers and biometrics teams in the life sciences industry. It consolidates all essential statistical programming activities into a single integrated workbench, covering everything from program and dataset creation and validation through to submission artifact development, eliminating the need for disparate tools and manual processes.

By bringing together code management, version control, specifications management, issue tracking, and collaborative workflows in one place, BRAIN SCE enables statistical programming teams to work more efficiently, reduce errors, and maintain end-to-end traceability across the entire data lifecycle — from raw data through SDTM and ADaM to analysis results and TLFs.

Key Benefits

• All-in-one statistical programming hub: A single environment supports all statistical programming activities, including program and dataset creation, validation, and submission artifact development, backed by integrated workflows, code management, and version control.
• Seamless specifications management: Built-in digital specifications replace spreadsheet-based approaches for developing and managing SDTM, ADaM, and Analysis Results specifications. Users can easily develop and reuse standards across studies, generate submission artifacts such as define.xml, and maintain end-to-end traceability from raw data to analysis results metadata.
• Dynamic knowledge graph insights: The BRAIN knowledge graph enables statistical programmers to visualize dependencies at an individual artifact level and trace the transformation of raw data through SDTM, ADaM, and TLFs, enhancing understanding of programming design and ensuring code integrity.
• Rapid search and navigation: Intuitive search and navigation functionality allows users to quickly locate artifacts of interest — such as programs, datasets, or output files — significantly reducing time and effort.

Core Features

• Multi-language programming: Statistical programmers can work seamlessly with their preferred programming language, leveraging native programming interfaces within the BRAIN environment.
• Reusable digitized specifications: Digitized analysis and reporting (A&R) specifications allow users to create a metadata object once and reuse it across domains and studies, eliminating redundant work.
• Issue tracking and automated notifications: BRAIN tracks issues and defects associated with programming artifacts directly within the system, maintaining a full audit trail and sending automated notifications to artifact owners when issues are raised, replacing manual spreadsheet-based tracking.
• Code promotion workflow: A complete workflow supports code promotion from development through quality control (QC) to production with a single click, ensuring programs are reviewed and approved by appropriate stakeholders before release.
• Secure environment: Flexible and fully secure access management simplifies complex traditional folder structures, with access controls manageable at the context, artifact, task, user, and folder levels.
• Biometrics warehouse: Data, programming artifacts, and metadata are managed within a single unified environment.
• Full traceability: A complete audit trail and lineage of analysis are automatically maintained throughout the programming lifecycle.
• Collaborative workflows: Issue tracking is integrated at the artifact level with automated notifications, eliminating the need for separate third-party applications or spreadsheets.
• Knowledge graph: Metadata is linked to intuitively store relationships between data files, sources, programs, and outputs, facilitating comprehensive data management and lineage tracking from source data to reporting.

BRAIN SCE is part of Saama's broader BRAIN platform for statistical programming and submissions, and is purpose-built to support clinical programming teams seeking to modernize their biometrics workflows, improve submission readiness, and maintain rigorous compliance and traceability standards.