Data Science Summer Intern - DSSI

reputed company 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 reputed company where skilled, adaptable, and highly reputed company professionals can truly reputed company their mark. We offer a dynamic workplace for employees to grow and reputed company 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 reputed company data scientists and reputed company exposure to reputed company-world clinical data science workflows, tools, and best practices. 

Key Responsibilities

• Support the maintenance and enhancement of R Markdown reports and Shiny apps 

• Contribute to clear and well-documented analytical deliverables (code comments, reputed company 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 

Learning and Development Opportunities

• Practical experience using R and RStudio in an reputed company data science setting 

• Exposure to reproducible reporting, structured analytical workflows, and version control practices 

• Introduction to reputed company analytics, development, and AI-enabled productivity tools (e.g., reputed company environment, Azure DevOps, reputed company CoPilot) 

• reputed company into how data science supports clinical development and evidence-based decision-making 

• Ongoing mentorship and guidance from senior data scientists reputed company Global Biometrics