Statistician Intern

About the role

This internship is ideal for both graduates and current students who are looking to gain experience in the field of statistics within a commercial environment. You will be presented with the opportunity to apply techniques learned during your academic training to real-world problems in healthcare and medical science.

Responsibilities

• Gain hands-on experience in critically appraising and interpreting complex statistics
• Planning and analysing clinical trial data
• Synthesising evidence
• Applying statistical analyses to patient-level clinical trial data, observational study (real-world) data and published aggregate data
• Using a range of techniques such as basic statistical analysis of individual patient data, regression analysis, survival analysis and Bayesian network meta-analysis using both standard and emerging methods
• Working on projects involving data analysis and the communication of both methodologies and results in a variety of publications, value materials, health economic models or health technology assessment submissions
• Working on several projects across a variety of therapeutic areas at any one time, which could include critically appraising and interpreting complex statistical analyses, planning and performing analyses of clinical trial data or synthesising evidence using Bayesian and frequentist (network) meta-analysis techniques
• The results of each analysis can feed into publications, value materials, health economic models or health technology assessment submissions

Requirements

• An undergraduate degree-level qualification in a scientific or mathematical discipline (minimum/expected 2:1 or equivalent) with a focus on statistics and data analysis
• A Master's or PhD would be highly advantageous
• A high degree of accuracy and attention to detail
• Strong mathematical ability
• Excellent written English
• Advanced skills in Excel
• A good knowledge of programming, with proficiency in R and an understanding of other similar languages
• The ability to use your initiative and work independently, in addition to working collaboratively within project teams