Fortrea
12-Month University Student Placement – Statistical Programming
United Kingdom · Work style not stated · Full time
Apply on the employer’s site ↗See how well you match this job
You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.
About the role
Description from the employer’s posting. Check the employer’s page for the current version.
- EmployerFortrea
- LocationUnited Kingdom
- Work styleWork style not stated
- Employment typeFull time
- Employer posted
12-Month University Student Placement – Statistical Programming – Leeds (Office-Based) – Start Date July 2027
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.
Show full description
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 key role in the clinical development process. Our teams develop, validate, and maintain the programming solutions used to analyze and report clinical trial data. From study start-up through regulatory submission, we deliver accurate and reliable outputs that support scientific and business decision-making.
Internship Overview
This internship offers a unique opportunity to develop your programming, analytical, and data interpretation skills within a global, fast-paced environment.
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, Figures, and Listings (TFLs).
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
Every dataset, analysis output, and report produced by our Statistical Programming teams contributes to the development of safe and effective therapies. Your work will play an important role in ensuring that clinical data is accurate, reliable, and ready to support regulatory and scientific decision-making.
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, Life Sciences, or another relevant discipline.
- 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, particularly Excel.
- 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.
Check your resume against this job Free, no sign-up. Nothing you paste is stored.
Staying safe while you apply
- Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
- Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
- Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.
Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.
Preparing for this role with ROLIVA
- Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
- Prepare honestly.
Build interview stories and application drafts from your own evidence.
- Keep track.
Save the role and record your own application status and follow-ups.
At a glance
- Employment typeFull time
- Employer posted
- Added to ROLIVA
- Last checked
Skills in this posting
Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.