Maps of the systems that run biopharma R&D.
A growing series of reference landscapes — taxonomic views of the systems, vendors, and integration points that run modern drug development. Each one covers one domain in depth.
These are working documents shaped by direct operational experience, not market-research surveys. Errors and omissions get fixed; new vendors and patterns get added as the field moves.
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Available
Clinical Systems
The systems that run a clinical trial — from study setup through regulatory submission. Internal trial systems (CTMS, EDC, ETMF, IRT, eCOA, ePRO, RBQM, Safety DB), vendor platforms across site selection, protocol optimization, patient recruitment, and decentralized execution, and external regulatory interfaces (FDA, ClinicalTrials.gov), organized across five trial phases.
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In development
AWS High-Performance Computing for Biopharma R&D
The compute architecture for pharmacometrics, statistical computing, and simulation workloads on AWS. NONMEM on Parallel Computing Service with Slurm, Posit Workbench on EKS, FSx ONTAP storage, AWS WorkSpaces with Phoenix WinNonlin and Pirana, validated SAS deployments, and the identity layer that makes the whole stack work across Managed AD, Centrify, and Okta.
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In development
AI Agents in Clinical R&D
The agent-platform landscape for clinical and regulatory workflows — multi-agent orchestration on AWS, document-analysis pipelines, eligibility-matching agents, regulatory drafting assistants. Bedrock AgentCore, Strands, local-LLM strategies for sensitive documents, and the governance pattern that makes any of it acceptable in a Part 11 environment.