Case Studies

Real-world examples of delivering value in clinical data projects for current and previous clients. These are not exhaustive, and do not include projects during full-time employment. Additional examples are available upon request and cover areas of imaging (DICOM) data management, leveraging use of additonal R Shiny dashboards and Quarto reports, use of AWS / GCP for storage, transfers and compute projects.

Oncology drug development
Complex Phase 1 and 2 Studies

Global Oncology Trial Data Management

Led comprehensive data management for a multi-site, multi-country Phase I and II oncology trials in colorectal cancer, and hepatocellular carcinoma. Complex, adaptive EDC design with stratified randomization

PROJECT DURATION
14 months
SCOPE
Fractional head of CDM, EDC builds, data migration, CRO oversight and analytics

Challenge: Fragmented vendor landscape, complex EDC design, and limited data standardization.



Key achievements: 3 EDC builds, 1 migration, optimized vendor selection and oversight, and delivered consistent analytics and reporting for the study teams. Ownership and delivery of all key CDM documents (including but not limited to eCRFs, Edit checks, DTAs, DMP, Coding docs, SAE reconciliation)

Operational Analytics
Supporting biospecimen reporting for external / pharma partnerships

Clinical Analytics for Biospecimens for Clinical Trials

Designed and implemented technical workflows for biospecimen disposition, sample returns, and operational KPIs for external / pharma partnerships.

Variability In Data Sources
APIs, DBs, Googlesheets, JSON blobs
Tools / Technologies Used
Python, R, Google Sheets API, Google Cloud Storage

Key achievements: Built a reusable, human-in-the-loop analytics pipeline for biospecimen reporting, reducing manual effort by 90% across 3 deliverables.

Impact

  • Significantly reduced manual reporting
  • Successful monthly delivery of 3 deliverables for a full calendar year
  • No workflow / compliance findings from a partner audit
Modernized Medical Data Review
Automated Patient Profiles

Streamlined Data Review Across Multiple Trials

Built an end-to-end automated patient profile review system for a large, multi-site, clinical trial with complex oncology elements.

TOOLS
Python/R, Quarto, Docker
SOURCE DATA
40+ CRFs
DATA PIPELINE
Purpose-built, using EDC APIs

Technical Highlights

  • Automated conditional formatting for lab and other outliers
  • Modern, timeline and cohort based visualizations for trial physicians
  • On-demand or scheduled availability using updated data

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