Data Science Summer Intern - DSSI
About The Position
Ascendis Pharma is a dynamic, fast-growing global biopharmaceutical company with locations in Denmark, Europe, and the United States. Today, we're advancing programs in Endocrinology Rare Disease and Oncology. Here at Ascendis, we pride ourselves on exceptional science, visionary leadership, and skilled and passionate colleagues. Guided by our core values of Patients, Science, and Passion, we use our TransCon® drug development platform to fulfill our mission of developing new and potentially best-in-class therapies to address unmet medical needs. Our culture fosters a place where skilled, adaptable, and highly resourceful professionals can truly make their mark. We offer a dynamic workplace for employees to grow and develop their skills. The Data Science Summer Intern will support the Global Biometrics department by contributing to R-based data analysis and reporting solutions used by clinical development teams. This role provides hands-on experience with exploratory analyses, surveillance-style reporting, and reproducible analytics in a collaborative and regulated research environment. This internship is structured as a learning and development opportunity. The intern will receive mentorship from experienced data scientists and gain exposure to real-world clinical data science workflows, tools, and best practices.
Requirements
- 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
Nice To Haves
- Prior experience with R Markdown or similar reporting frameworks
- Exposure to R packages such as dplyr, ggplot2, renv, flexdashboard, and Shiny
- Familiarity with Git or other version control systems
- Coursework, projects, or interest in healthcare, life sciences, or clinical research
- Previous internship, academic project, or applied coursework involving data analysis
Responsibilities
- 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
Benefits
- Opportunity for mentorship and professional development
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What This Job Offers
Career Level
Intern
Number of Employees
501-1,000 employees
