Student - Statistical Programmer I

When our values align, there's no limit to what we can achieve.

At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.

Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.

We are recruiting for out next intake of Student - Statistical Programmers! This is a 12 -14-month University Placement opportunity for students in their penultimate year of study.

• The placement will begin Monday, July 05, 2027, and be based in our Sheffield office
• Deadline for Applications: Friday, November 20, 2026
• Assessment Days - January or February 2027

Job description

You will support Statistical Programming group in analyzing and reporting clinical trials.

Your tasks include

Producing datasets (for statistical analysis and regulatory submission purposes), statistical outputs such as statistical tables and graphs as well as data listings, utilizing SAS® Software.

Learn about the pharmaceutical industry, what is involved in conducting a clinical trial and getting a new drug to market, as well as good clinical practices. On your Parexel journey, we support you with leading edge technology, the highest caliber team members, and managers who know your strengths. If you’re looking for flexibility and work-life balance, we’re here to listen and help you move forward with your individual career path.

This is a great opportunity to develop skills and experience to help you during the final year of your degree course.

Your Profile

• Undergraduate in a relevant discipline (statistics, mathematics, computer sciences, computer and management studies or another computer literature and scientific degree). With a sandwich year as part of their UK University course
• Ability to be enthusiastic, self-motivated and able to successfully work in a team environment, learn quickly, and communicate effectively, with great attention to detail.
• Knowledge of a statistic methods application such as SAS®, R, MATLAB, SPSS
• Ability to prioritize work and meet deadlines.
• Ability to work and communicate in a global project team environment.
• Self-motivated with a desire to develop and learn new skills