Support the maintenance and enhancement of R Markdown reports and Shiny apps
Contribute to clear and well-documented analytical deliverables (code comments, README files, and basic user documentation)
Collaborate with cross-functional team members to understand analytical requirements and incorporate feedback
Apply standard practices for reproducible research, version control, and organized project structure
Practical experience using R and RStudio in an enterprise data science setting
Exposure to reproducible reporting, structured analytical workflows, and version control practices
Introduction to enterprise analytics, development, and AI-enabled productivity tools (e.g., Posit environment, Azure DevOps, Microsoft CoPilot)
Insight into how data science supports clinical development and evidence-based decision-making
Ongoing mentorship and guidance from senior data scientists within Global Biometrics.

Currently enrolled in, or recently completed, a Master’s or PhD program (preferably in the second year or beyond) in Data Science, Statistics, Biostatistics, Computer Science, or a related quantitative field
Foundational R programming skills, demonstrated through coursework or academic projects
Familiarity with RStudio and R Markdown through academic or project experience
Strong attention to detail and a willingness to learn in a regulated environment
Effective written and verbal communication skills
Prior experience with R Markdown or similar reporting frameworks (preferred)
Exposure to R packages such as dplyr, ggplot2, renv, flexdashboard, and Shiny (preferred)
Familiarity with Git or other version control systems (preferred)
Coursework, projects, or interest in healthcare, life sciences, or clinical research (preferred)
Previous internship, academic project, or applied coursework involving data analysis (preferred).

This is a summer internship position with a duration of 8-12 weeks.
You will be an external W2 contractor reporting to an Ascendis manager, no Ascendis benefits will be provided for this limited duration contract.
Opportunity for mentorship and professional development.

Data Science Intern

Key skills