
Junior Data Scientist
Phastar
full-time
Posted on:
Location Type: Remote
Location: United Kingdom
Visit company websiteExplore more
Job Level
About the role
- Design, build, and enhance modular Shiny applications for interactive visualization and reporting of clinical datasets (e.g., Tables, Listings, Figures).
- Implement intuitive, high-performance UI/UX features such as filtering, drill-down, bookmarking, and export options (CSV, XLSX, PDF, RTF).
- Support data integration and pooling of clinical data sources using R and Python to create standardized, analysis-ready datasets.
- Collaborate with cross-functional clinical development teams to ensure accuracy, traceability, and reproducibility in all data workflows.
- Participate in quality control, testing, and deployment on Posit Connect or equivalent environments.
- Contribute to automation and continuous integration efforts to streamline analytical delivery.
Requirements
- 3-5 years of professional or academic experience developing Shiny applications in R.
- Strong proficiency in R (tidyverse, data.table, ggplot2) and understanding of Shiny reactivity and modular design.
- Basic proficiency in Python (pandas, NumPy) for data transformation or validation.
- Familiarity with Git, version control, and collaborative coding practices.
Benefits
- Professional development opportunities
- Equipment allowances
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Shiny applicationsRtidyversedata.tableggplot2PythonpandasNumPydata transformationdata validation
Soft Skills
collaborationaccuracytraceabilityreproducibilityquality controltestingdeploymentautomationcontinuous integration