12-month University Student Internship – Statistical Programming – Leeds – Start Date July 2026

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Fortrea’s 12-month University Student Internship in Statistical Programming on-site in Leeds offers hands-on experience with real clinical trials, mentorship, and projects that build SAS based SDTM and ADaM datasets, tables, listings and figures under Good Clinical Practice. Open to second-year undergraduates in quantitative or technical fields such as statistics, mathematics, computer science, and data science, with demonstrated interest in clinical research. You’ll work with global cross-functional teams in biostatistics, data management, and project management, contributing to studies that impact patient outcomes. To apply, highlight relevant coursework and any SAS or R experience, data analysis projects, collaboration and time management, and a proactive, curious mindset, tailoring your CV to show potential for a fast paced environment.

12-Month University Student Internship – Statistical Programming – Leeds – Start Date July 2026

At Fortrea, we believe early talent is the heartbeat of innovation. Our Early Careers program is more than an internship – it’s a launchpad for your future.

As a Statistical Programming Intern, you’ll join a global team where curiosity, problem-solving, and analytical thinking are celebrated. You’ll gain hands-on experience supporting real clinical trials, work alongside experienced programmers and statisticians, and learn how data drives the delivery of life-changing medicines.

We don’t expect you to know it all. What matters most is your potential, your drive to learn, and your willingness to grow. With mentorship, training, and real project involvement, we’ll help you build the technical and professional skills to succeed in the world of clinical research.

Your journey to pioneering tomorrow’s breakthroughs starts here.

Global Internship Program – From Campus to Business

As a Fortrea intern, from your very first day, you will complement your education in STEM or data analytics by contributing to real-world projects that align with our mission: to deliver solutions that bring life-changing medicines to patients faster and with true impact.

Your Team

The Statistical Programming Department plays a critical role in transforming complex clinical trial data into meaningful insights. Our team designs, develops, and validates the programs used to analyze and report clinical trial results across all phases and therapeutic areas.

Internship Overview

This internship offers a unique opportunity to develop your programming, analytical, and data interpretation skills within a global, fast-paced environment.

Hands-On Learning:
You’ll support the creation, validation, and documentation of programs used for data analysis, tables, listings, and figures. You’ll also help ensure data quality and compliance with Good Clinical Practice standards.

Technical Development:
You will gain exposure to tools and SAS language: you will develop and maintain SAS programs to create SDTM and ADaM datasets together with tables, listings and figures.

Cross-Functional Collaboration:
Work with global teams, including Biostatistics, Data Management, and Project Management, and experience how different disciplines come together to deliver successful trials.

Real-World Impact:
Contribute to studies that improve patient outcomes and drive innovation in drug development.

And you’ll have fun while learning all that!

Education and Qualifications

• You must be in your second year of a Bachelor’s degree in a quantitative or technical field such as Statistics, Mathematics, Computer Science, Data Science, Biomedical Sciences, Genetics, Pharmacology, Biochemistry, Microbiology, or related disciplines.
• Demonstrated interest in clinical research, statistical programming, or data-driven problem-solving.
• Ability to collaborate effectively with diverse, cross-functional teams.
• Strong organizational and time management skills with attention to detail.
• Proficiency in Microsoft Office (Excel, Word, PowerPoint).
• Familiarity with SAS, R, or other statistical software is an advantage but not required.

Other Key Skills

• Analytical mindset and a passion for working with data.
• Strong communication skills (both written and verbal).
• Curiosity, adaptability, and a proactive approach to learning.
• Ability to manage multiple priorities and meet deadlines.

Learn more about our EEO & Accommodations request here.