We develop tools that automate the delivery of Clinical Study Report (CSR) outputs, and the exploration of clinical trial data from SDTM and ADAM datasets. We have a good understanding of the CDISC standards and the challenges faced by the industry. We are excited to contribute in solving them.
Some of our projects:
- Designing a CSR with Shiny
- Designing a low-code interface with Shiny
- Building adverse events explorer
- Web interfaces for clinicians
- R packages and tools for statisticians
UI redesign for the BigOmics product, in addition to significant performance optimisation work (loading time reduced by 75%). We also delivered an integration with Firebase for authentication, and Stripe for payment.
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Both of our founders have worked and collaborated with International Organisations in Geneva and other Non-Profit Organisations. We also have a successful track record of delivering projects for government agencies.
A few examples of use-cases successfully delivered:
- Profile of State and Territorial Public Health dashboard for ASTHO
- Survey design and dessimination
- Survey data collection and analysis
- Survey data presentation (written reports and dashboards)
- Custom package developement for wrapping the Qualtrics software API
- Covid-19 tracker
- Mass mailing automation
- Dynamic and automated one-pagers, reports and presentations
- Building Google Analytics and MixPanel data ingestion pipelines
Supported Astho to build the Profile of State and Territorial Public Health dashboard. Our work included a variety of custom components, custom Shiny inputs, a unique UI layout, a custom interactive map of the United States, and more.
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One of our founders has occupied senior positions in the finance industry where he was responsible for the data and technology mandates, establishing The Y Company strategically to support on a number of topics:
- Data strategy and roadmap definition
- Team building and recruiting
- Business intelligence and communication to senior leadership
- Ingestion and reconciliation of financial counterparty data
- Parsing, cleaning and transformation of heteroclite data sources (pdf, json, xml, csv, etc.)
- Process automation for financial accounting and operations
- Risk management
- Trading activities analysis: P&L analysis, portfolio performance, etc.