Leeds 12-Month Statistical Programming Internship

Fortrea; Leeds; On-site; GBP 18,000 - 24,000; Full time

Job summary

Fortrea is offering a 12-month University Student Placement – Statistical Programming in Leeds (Office-Based), starting July 2027. As a Statistical Programming Intern, you will gain hands-on experience supporting real clinical trials and developing SAS programs to create SDTM and ADaM datasets, tables, figures and listings.

You’ll work with global teams across Biostatistics, Data Management and Project Management, receive mentorship and training, and contribute to data-driven decision making

Qualifications

• Must be in your second year of a Bachelor's degree.
• Demonstrated interest in clinical research or statistical programming.
• Ability to collaborate with cross-functional teams.
• Strong organizational and time management skills with attention to detail.
• Proficiency in Microsoft Excel.
• Familiarity with SAS, R, or other statistical software is an advantage.

Responsibilities

• Develop SAS programs to create SDTM and ADaM datasets and generate Tables, Figures, and Listings (TFLs).
• Maintain and validate programming outputs used in clinical trials.
• Collaborate with Biostatistics, Data Management, and Project Management teams.
• Support start-up through regulatory submission activities where applicable.
• Contribute to data quality and integrity across datasets and analyses.
• Assist in preparing reports and datasets for regulatory review.

Skills

Analytical mindset

Strong communication

Curiosity

Adaptability

Time management

Attention to detail

Education

Bachelor's degree (second year) in quantitative/technical field

Tools

SAS

R

Job description

Fortrea is offering a 12-month University Student Placement – Statistical Programming in Leeds (Office-Based), starting July 2027. As a Statistical Programming Intern, you will gain hands-on experience supporting real clinical trials and developing SAS programs to create SDTM and ADaM datasets, tables, figures and listings.

You’ll work with global teams across Biostatistics, Data Management and Project Management, receive mentorship and training, and contribute to data-driven decision making