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# R Shiny Developer - Part-time

- **Company:** Sysdata Consulting, Inc.
- **Location:** United States (Remote available)
- **Salary:** $187,200.0 - $228,800.0
- **Contract:** Permanent contract
- **Skills:** Clinical Data Management, Computer Programming, Data Visualization, Decision Support Systems, R (Programming Language), Build Tools
- **Published:** September 9, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=97a78130e248bb23

## About the Role

* Strong R and R Shiny programming experience.
 * Experience working with clinical trial data (SDTM/ADaM preferred).
 * Understanding of oncology clinical development and statistical analyses.
 * Experience with data visualization and dashboard development.
 * Ability to work independently and translate analytical outputs into business-focused insights.

Example Deliverables

 * Dose optimization dashboard
 * Exposure-response toolkit
 * Regulatory pathway readiness dashboard
 * Study-level efficacy and safety review portal
 * Enrollment and event forecasting applications

## Description

Reporting to the VP, Biostatistics, this part-time contractor role will develop and maintain R Shiny applications and analytics toolkits that transform clinical trial analyses into interactive dashboards and decision-support tools. The goal is to enable cross-functional teams to efficiently explore efficacy, safety, PK/PD, dose optimization, and regulatory-readiness data without requiring programming expertise., * Develop R Shiny dashboards for clinical trial review and decision support.

 * Convert existing statistical analyses into reusable, interactive applications.
 * Build tools for exploring efficacy, safety, exposure-response, biomarker, and dose optimization data.
 * Create executive-level dashboards tracking study progress, data maturity, and key program metrics.
 * Develop regulatory-focused dashboards supporting Accelerated Approval, Project Optimus, dose optimization, and competitive benchmarking assessments.
 * Collaborate with Biostatistics, Statistical Programming, Clinical Pharmacology, Clinical Development, and Regulatory teams.
 * Ensure applications are user-friendly, reproducible, and maintainable.