Clinical Data Platforms & Analytical Integration
Clinical and biomarker data integration with R, Python, SQL and Databricks: data models, pipelines, QC, lineage and analytical applications.
Scientific Software, Dashboards & Automation
We turn repetitive analytical processes into tools the team can run, review and maintain. The first deliverable solves a concrete workflow: validation, analysis, visualisation or export.
What is included
- Reproducible R or Python pipelines and reporting automation.
- Review dashboards, Shiny applications and interactive visualisation as scoped.
- QC rules, testing, documentation and integration in the agreed environment.
What you receive
- Working tool and source code.
- Tests and evidence against acceptance criteria.
- Run, deployment and maintenance instructions.
Frequently asked questions
Can we begin with a prototype?
Yes. We agree a useful, verifiable task using synthetic, public or client-environment data. Further development depends on requirements and maintenance arrangements.
Related services
Research Data Preparation & CRF Design
Research database cleaning and coding, data dictionaries and case report form design with traceable validation rules and analysis-ready transformations.
Discuss your project
Describe the objective, study stage and deadline. We will confirm fit, deliverables, timing and a quote based on complexity and data quality.
Do not email patient, clinical or confidential study data. Access and the working environment are agreed before materials are shared.
Discuss your project