Data Science

Our Data lovers unlock value beyond numbers

At Pivotal, our Data Management function has evolved into a Clinical Data Science role. While Data Management focuses on dataflows and integrity, Clinical Data Science adds dimensions of risk, coherence, and value to ensure data quality (ie. The data is credible and reliable).

It also extends beyond the study to generate insights that support broader clinical research, using specialized expertise, approaches, and technologies. Our data scientists ensure consistent review of data for coherence, identifying abnormalities early on to prevent delays and quality issues.

We leverage the latest EDC and DCT technology for data capture, integration, and standardization, with expert programmers handling complex programming and integrations.

Our clinical data management services

Database design, development and validation (CDASH standards)
Randomization and trial supply management
Data transfers
Medical coding
Smart data quality plan and query programming and validation
Central monitoring through real time clinical insights and patient profiles
Real time key risk indicators and site risk profile
AEs reconciliation
Database lock, archiving and integrations

Discover Danah, our RBQM, Site Profile and Insight technology used by our Data scientists to ensure data coherence and to identify data risks.

10

Weeks to database go live

15

Weeks to real time Clinical Insights Go-Live

>10

Studies with clinical insights and RBQM

Experts

In 4 EDC platform

Our Solutions for Biotechs

We offer end-to-end clinical development solutions tailored to your needs. Whether you’re preparing for first-in-human or managing a global Phase 3 trial, our agile team delivers expertise, insight, and hands-on support at every stage.

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