Contribute to analytical and methodological activities including extracting, cleaning, preparing, analyzing, and reporting real-world data using R
Job Summary
Contribute to analytical and methodological activities including extracting, cleaning, preparing, analyzing, and reporting real-world data using R.
Develop, document, and maintain data science methods, analytical algorithms, and reproducible workflows, supporting centralized R package libraries and Shiny applications.
Enhance operational efficiency through automation, tool creation, internal documentation, and rigorous quality control procedures.
Matching Summary
Contribute to analytical and methodological activities including extracting, cleaning, preparing, analyzing, and reporting real-world data using R.
Skills & Requirements
Must-have
R programming
Data cleaning and preparation
Statistical analysis plans
Reproducible workflows
Version control (Git)
Scientific writing
Nice-to-have
Client-focused, results-driven environment
Collaboration with cross-functional teams
Data visualization
Statistical modelling
Prospective or retrospective database studies
Key Requirements
Bachelor's degree in quantitative discipline
Pursuing or completed MSc
Proficiency in R or another programming language
Excellent time management
Excellent written and verbal communication in English