Work Flexibility: Remote or Hybrid or Onsite
Overview
We are seeking a motivated Clinical Statistics Intern to join our Clinical Data Sciences team within Trauma & Extremities. This internship is designed to provide hands-on experience working with real-world clinical data and exposure to the role of statistics and programming within a healthcare and medical device environment.
The intern will work on a defined project (or small number of projects), applying statistical and data programming skills to support analysis of clinical trial or real-world data (e.g., registries), while collaborating with cross-functional teams.
Key Responsibilities
- Support the analysis of clinical data, including clinical trial datasets and/or real-world data sources such as registries
- Assist with data preparation, cleaning, and transformation for analysis
- Develop and run statistical summaries and exploratory analyses under the guidance of senior statisticians
- Contribute to the development of tables, listings, and figures for internal use
- Write and maintain basic programs (e.g. SAS, R, or similar tools) to support data processing and analysis
- Document methods, assumptions, and outputs in a clear and structured way
- Work with internal stakeholders (e.g. clinical, business, or data teams) to understand project goals and requirements
- Present findings and progress updates to the team
What You Will Gain
- Practical experience working with real clinical and healthcare datasets
- Exposure to both clinical trial and real-world data (RWE) environments
- Understanding of how statistical analysis supports clinical evidence and business decision-making
- Experience working in an international, cross-functional team
- Mentorship from experienced statisticians and data scientists
Basic Qualifications
- Currently studying towards a degree in Biostatistics, Statistics, Mathematics, Data Science, or a related field
- Strong foundational knowledge of statistical concepts (e.g. distributions, hypothesis testing, regression basics)
- Interest in healthcare, clinical research, or medical data
Preferred Skills
- Experience with data analysis tools such as SAS, R, Python, or similar
- Familiarity with working with structured datasets (e.g. Excel, CSV, databases)
- Basic programming skills for data manipulation and analysis
- Strong attention to detail and data quality
- Good communication skills and ability to work in a team environment
Working Approach
- The intern will be assigned to a clearly defined project aligned to team priorities
- Support and guidance will be provided throughout the internship
- Project scope may be adapted based on the intern’s interests and skills
Salary information will be provided during the recruitment process.
Travel Percentage: None