We are currently recruiting for start dates throughout the remainder of 2021, and throughout 2022, including January, April, July and September. Additional start dates may also be available and you will be asked to state your availability on your application form.
About the Role
This position is ideal for recent graduates who are seeking to gain experience in the field of statistics in a more 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. You will work 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.
You will typically be 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.
Interns receive extensive one-to-one training on the technical aspects of projects and also learn about project management and effective communication with clients.
You will be based in our brand-new office in Boston and will join the team at its foundation in growing our statistics service offering. This presents opportunities to shape and drive our US company; an endeavor supported by the success of our existing operations in the UK and Asia-Pacific. You will work closely with our Scientific Director, who will be based in Boston and has 10 years’ experience in the industry, and other senior colleagues in the US and globally.
Our Statistician Internship is for a duration of 3 months, however we may also be able to consider applications for internships of 6 months. Your monthly stipend will be based on an annual stipend of $40,000. You will also be entitled to statutory holiday.
Essential requirements for the role are:
- An undergraduate degree in a scientific or mathematical discipline (minimum GPA 3.3) is required, although a Masters or PhD would be advantageous. A focus on statistics and data analysis is essential
- A high degree of accuracy and attention to detail
- Strong mathematical ability
- Advanced skills in Excel
- Good R programming skills or knowledge of at least one similar programming language
- Excellent written English
- The ability to use your initiative and work independently, in addition to working collaboratively within project teams