Clinical analytics built for modern drug development.
Deoyin PX is a clinical analytics and workflow-automation brand under Deoyin and Company LLC, focused on modernizing pharmacokinetic, regulatory, and health economics workflows through R-based analytics, Shiny applications, automated reporting, and intelligent data engineering.
Our Mission
We exist to simplify complex analytical workflows, shorten timelines to insight and submission, and elevate the quality and reproducibility of clinical evidence.
Many PK/PD, CDISC, and HEOR workflows remain heavily manual-spread across ad-hoc scripts, spreadsheets, and slide decks. Deoyin PX helps teams consolidate this into validated, reproducible pipelines that create the same high-quality outputs every single time.
What makes Deoyin PX different?
- Deep focus on PK/PD, CDISC, and HEOR/ICER-not generic analytics.
- Preference for reusable code and apps over one-off scripts.
- Hands-on experience with R, Shiny, Python, VBA, and ETL for clinical data.
- Orientation toward regulatory expectations and fit-for-submission outputs.
- Automation mindset: design work so that the second study is 10× easier than the first.
Core Focus Areas
Deoyin PX sits at the intersection of pharmacometrics, biostatistics, health economics, and data engineering.
PK/PD & Clinical Pharmacology
From single-dose PK assessments to complex multi-cohort designs, we help teams move from concentration-time data to clear, submission-ready tables and figures.
CDISC & Regulatory Programming
ADaM programming, TLF development, and P21 validation pipelines aligned with regulatory guidance and internal standards.
HEOR, ICER & Market Access
R- and Excel-based models that quantify incremental value, uncertainty, and budget impact in ways that both clinical and commercial stakeholders can use.
Automation & AI
Automated report generation, smart templating for Word/Excel, and AI-assisted narratives that remain grounded in validated outputs.
How We Collaborate
Deoyin PX works as an extension of your internal teams-fitting into existing governance, quality, and documentation structures.
- Project-based engagements for specific studies or work packages.
- Retainer-style support for ongoing PK/PD, CDISC, or HEOR workloads.
- Prototype-to-production: starting with a single workflow and evolving it into an internal app or API.
Next steps
If you are exploring automation or need bandwidth for upcoming PK, TLF, or HEOR work:
- Share a brief on your study or portfolio needs.
- Align on deliverables, timelines, and preferred technologies.
- Co-design a roadmap that covers both immediate outputs and longer-term reusability.