• As a Statistical Programmer you will have responsibility for statistical programming support in planning, specifying and developing analyses and visualisations for the reporting and analysis of clinical trials. 
• Your key deliverables will include datasets, tables, listings and graphs used to analyse the safety and efficacy of study drugs.
• You will be part of a functional team where your analyst skills will be valued and you will play a key role in driving projects forward.
• Whilst SAS is the core of our skillset, we embrace other technologies and languages, such as R and Spotfire, and we encourage our team members to enhance their skills and develop their potential.

Applicants should be undertaking a BSc/MSc in Biomedical Sciences, Mathematics, Statistics, or other relevant subjects, with at least 6 months of their studies to be performed post-internship. Applicants should have a passion for data and data science, and an appetite for learning about drug development. Some experience or knowledge of data handling and analysis techniques including programming languages (e.g. R or SAS) are essential, as well as good communication skills in English.