Statistician Intern
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-03-12
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Science
Data Scientist, Research Scientist, Clinical Research
Role Summary
- Responsibilities: In this role, you will gain hands‑on experience in critically appraising and interpreting complex statistics, planning and analysing clinical trial data, and synthesising evidence, with one‑to‑one training and mentoring from our experienced Statistics team
- Salary: A pro‑rated salary of £25,800 per annum outside of London (£27,050 per annum in London)
- Benefits: Statutory holiday allowance, flexible working hours and the chance to work from home 1 day per week, numerous internal training and mentoring opportunities and employer pension contributions
- Role Type: Full‑time, temporary internship
- Start Date: We have start dates available in early 2026, including March and April, and you will be asked to state your availability on your application form. The internship will last for 3 or 6 months
- Location: This role is available in our Global Headquarters in Cambridge, as well as our London, Manchester, and Bristol offices
Our Statistics team provide statistical and analytical expertise across Costello Medical, devising statistical analysis plans and performing data analysis within R, Excel, Stan and BUGS software. They are also responsible for communicating the methodologies and results in both written and oral formats to drug and device manufacturers, doctors and reimbursement agencies such as NICE in the UK. The statistical analyses varies across patient‑level clinical trial data, observational study (real‑world) data and published aggregate data.
Our work involves 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.
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.
Career Prospects After the InternshipDuring the internship programme, individuals performing well may be given the opportunity to extend their internship to 6 months (note that this is dependent on business need). When this happens, it allows our interns to further develop their skills and potentially gain experience of other areas of the company (again, dependent on business need as well as the individual’s interests).
Additionally, there is the opportunity for strong candidates to apply for the Statistician role and join our expanding team on a permanent basis. Many of our Statistician Interns move into a permanent role at Costello Medical.
To learn more about a typical day for a Statistician at Costello Medical, please :
Starting Your Career as a StatisticianAndrei, a Senior Statistician at Costello Medical, has written an article for the University of Cambridge where he shares his experiences of studying Mathematics at university and seeking a role where he could use his mathematical skills for good, which led him to Costello Medical:…
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