Statistician Intern

Costello Medical•Boston, MA

2d•$26 - $32•Hybrid

About The Position

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. 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. The results of each analysis can feed into publications, value materials, health economic models or health technology assessment submissions. You will therefore be exposed to a wide variety of our services and a broad range of therapeutic areas. Interns receive extensive one-to-one training on the technical aspects of our statistics work, as well as project management and effective client communication.

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 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
Must have the right to work in the US independently from the company.

Nice To Haves

A Master's or PhD would be highly advantageous

Responsibilities

Critically appraising and interpreting complex statistics
Planning and analysing clinical trial data
Synthesising evidence
Devising statistical analysis plans
Performing data analysis within R, Excel, Stan and BUGS software
Communicating methodologies and results in both written and oral formats
Applying techniques learned during academic training to real-world problems in healthcare and medical science
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
Critically appraising and interpreting complex statistical analyses
Planning and performing analyses of clinical trial data
Synthesising evidence using Bayesian and frequentist (network) meta-analysis techniques
Receiving extensive one-to-one training on the technical aspects of our statistics work, as well as project management and effective client communication