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Statistician

Job in Central London, Greater London, England, UK
Listing for: Techwaka
Full Time position
Listed on 2025-11-02
Job specializations:
  • Healthcare
    Data Scientist, Clinical Research
Salary/Wage Range or Industry Benchmark: 42000 GBP Yearly GBP 42000.00 YEAR
Job Description & How to Apply Below
Position: Statistician (Visa Sponsorship Available)
Location: City of London
** Responsibilities:
** You will be responsible for devising and performing statistical analysis plans and then communicating the methodologies and results of these to our clients in the healthcare sector.
** Salary:** £42,000 per annum
** Benefits:
** Discretionary profit share bonuses paid twice per year, hybrid and flexible working options, generous holiday allowance, private medical insurance, critical illness cover, income protection, full funding for external training and more.
** Role Type:
** Full-time, permanent
*
* Start Date:

** We have start dates available from Summer 2025 onwards, including July, August, September and October.
** Final date to receive applicationss:
** Whilst there are no set Final date to receive applicationss, we strongly recommend applying as early as possible. The role, or particular start dates, may close when suitable candidates are found.
*
* Location:

** This role is available in our Global Headquarters in Cambridge, as well as our London, Manchester and Bristol offices.
** About the Role
** 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 vary 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.

You will work in project teams alongside colleagues from all specialities to ensure that statistics projects are completed to an exceptionally high standard, on time and in line with client expectations. You will receive training in the technical aspects of the role, project management skills and effective client communication. Delivering project work requires close collaboration with clients and, following a successful induction period, you will increasingly participate in client calls and face-to-face meetings with external stakeholders.

Some client meetings and congresses take place outside the UK, which presents opportunities for overseas travel.

Our team typically work on several projects at one time and 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 service and a broad range of therapeutic areas.
** A Day in the Life of a Statistician
** To learn more about a typical day for a Statistician at Costello Medical, please : [Link]
** Starting Your Career as a Statistician
** Andrei, 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: [Link]
** About Costello Medical
**** Requirements
* *** About You
** The successful candidate will be someone who enjoys problem solving and thinking outside the box to develop innovative solutions. In line with the company’s values, you will be passionate about improving patient outcomes by applying your statistical knowledge and technical skills to the healthcare industry.
** Essential requirements for the role are:
*** An undergraduate degree level or higher qualification in a scientific or mathematical discipline (minimum 2.1 or equivalent) with a focus on statistics and data analysis.
* Proficiency in the R programming language, and the willingness and ability to rapidly develop your programming skills.
* The technical and mathematical ability, coupled with the written and oral communication skills, to explain complex techniques and results to non-experts.
* A willingness to trial, explore or recommend new software or techniques that may suit…
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