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Role Overview:
- Design, develop, and maintain high-quality R and Shiny applications supporting biological and clinical data analysis workflows.
- Process, analyze, and visualize complex life science datasets, ensuring accuracy, reproducibility, and usability of outputs.
- Build and maintain reusable R packages and data processing components to support scalable analytics solutions.
Requirements:
- Strong proficiency in R programming with hands-on experience in production environments.
- Experience working with biological, clinical, or life science data, including data processing, analysis, and visualization.
- Proven experience building web applications using R Shiny or JavaScript.
Benefits:
- Fully remote role with flexible working hours supporting deep work and work-life balance.
- Competitive compensation aligned with experience and expertise in R and life sciences.
- Time and budget allocated for continuous learning, conferences, and professional development.
Jobgether
This role sits at the intersection of software engineering, data science, and life sciences, focusing on building advanced R-based applications for drug discovery and clinical trials. The environment is highly collaborative and research-driven, combining strong engineering practices with domain expertise in bioinformatics and biostatistics.