PHASTAR is looking for a Junior Data Scientist to support the development of analytical tools and data pipelines within clinical development. You will leverage your R Programming Skills and R Shiny experience to build impactful solutions for our clinical teams.
What You'll Do
- 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.
What We're Looking For
- 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.
Technical Stack
- R, R Shiny
- tidyverse, data.table, ggplot2
- Python, pandas, NumPy
- Git
Team & Environment
Collaborate with cross-functional clinical development teams.
Work Mode
This role operates on a global scale and is open to candidates located in the UK and EU.
Phastar is committed to the principles and practices of equal opportunities and to encourage the establishment of a diverse workforce. It is our policy to employ individuals on the basis of their suitability for the work to be performed and their potential for development, regardless of age, sex, race, color, nationality, ethnic or national origin, disability, marital status, pregnancy or maternity, sexual orientation, gender reassignment, religion, or belief.
