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Statistician

Remote / Online - Candidates ideally in
Manchester, Greater Manchester, M9, England, UK
Listing for: Costello Medical
Part Time, Remote/Work from Home position
Listed on 2026-01-22
Job specializations:
  • Science
    Data Scientist, Research Scientist
Job Description & How to Apply Below

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. Our Statistics team provides 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 on the technical aspects of the role, as well as project management 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 works 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 variety of our service offerings and a broad range of therapeutic areas.

Hybrid

Working Policy

We believe that having face‑to‑face time in the office holds many benefits and is central to ensuring that the community we have created, where people have a workplace they belong to and feel part of, is never lost. At the same time, we recognise that homeworking can improve work life balance, reduce commuting times and costs, and provide the opportunity to juggle personal commitments.

Therefore, we offer flexible working arrangements that allow our colleagues who have passed probation to work from home up to half their time, measured across a 2‑week rolling period. During your probationary period (normally the first 6 months of the role), you will be able to work from home 1 day per week. A Day in the Life of a Statistician Learn more about a typical day in the life of a Statistician at Costello Medical:
Day in the Life.

Career Profile

The recruitment process begins with a self‑recorded video interview which will be reviewed by the Talent Acquisition team. Following this, you will be sent a technical assessment (using R programming) and a proofreading exercise to complete in your own time. If successful, you will be invited to a final interview with senior members of our Statistics team, which includes a short presentation you can prepare for in advance.

Our standard recruitment process lasts around 3–4 weeks, however, this can be adapted if necessary.

Candidate Profile

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.

Qualifications
  • An undergraduate degree‑level 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 ability, coupled with strong written and verbal communication skills, to explain complex techniques and results to non‑expert audiences
  • A willingness to research, test, and recommend new software or techniques…
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