Ascendis Pharma logo

Data Science Summer Intern - Dssi

Ascendis PharmaPrinceton, NJ

$30 - $38 / hour

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.1

Reclaim your time by letting our AI handle the grunt work of job searching.

We continuously scan millions of openings to find your top matches.

pay-wall

Overview

Education
Master's Degree
Career level
Senior-level
Remote
Remote
Compensation
$30-$38/hour
Benefits
Career Development

Job Description

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. 

Key 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 

Learning and Development Opportunities 

  • 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 

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 

Preferred Qualifications 

  • 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 

Work Environment 

  • Remote (U.S.); candidates located in the SF Bay Area or Metropolitan Atlanta are preferred 
  • Collaborative team environment with regular feedback, coaching, and support 
  • Internship duration aligned with standard summer internship program timelines (8-12 weeks) 

This internship will pay $30-38/hr. depending on your years of education completed.

Benefits

  • 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. 

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.

pay-wall

FAQs About Data Science Summer Intern - Dssi Jobs at Ascendis Pharma

What is the work location for this position at Ascendis Pharma?
This job at Ascendis Pharma is located in Princeton, NJ, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Ascendis Pharma?
Candidates can expect a pay range of $30–$38 per hour for this role.
What employment applies to this position at Ascendis Pharma?
The employer has not provided this information. This may be discussed during the hiring process.
What experience level is required for this role at Ascendis Pharma?
Ascendis Pharma is looking for a candidate with "Senior-level" experience level.
Does Ascendis Pharma allow remote work for this role?
Yes, this position at Ascendis Pharma supports remote work, giving candidates the flexibility to work outside the primary office location.
What education level is required for this job?
The education requirement for this position is Master's Degree. Candidates with relevant qualifications or equivalent experience may also be considered.
What benefits are offered by Ascendis Pharma for this role?
Ascendis Pharma offers Career Development for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Ascendis Pharma?
You can apply for this role at Ascendis Pharma either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.