Statistician (Visa Sponsorship Available)

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.

Application Deadlines: Whilst there are no set application deadlines, 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.

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 specific projects.
• A high degree of accuracy and attention to detail, along with the ability to maintain a high level of customer service and the quality of deliverables under multiple competing demands.
• A high level of organisation, with the flexibility to respond to changing deadlines.
• The ability to use your initiative and work independently, in addition to working collaboratively within project teams.
• Excellent written English, which will be assessed during the selection process.

• Desired requirements for the role are:
• A Masters or PhD in a scientific or mathematical discipline (minimum 2.1).
• Experience with SAS, Stata, SQL or Python.
• Experience in and/or knowledge of medical data, clinical processes or trials.

What We Offer: Alongside our award-winning company culture, where every team member is celebrated, respected, and has their voice heard, we are proud to offer a comprehensive benefits package which includes:

• A starting salary of £42,000 per annum, depending on your previous experience, as well as a discretionary profit share bonus paid twice per year.
• 25 days’ annual leave plus bank and public holidays, as well as a holiday buy and sell scheme.
• Flexible working hours and the chance to work from home for up to half of your working time after passing probation.
• Flexible benefits scheme offering cash payments, additional pension contributions and more.
• Private Medical Insurance which offers comprehensive cover on a “medical history disregard” basis.
• Paid study leave and funding for external qualifications.
• Critical Illness Cover, Income Protection and Life Assurance.
• Paid and unpaid sabbaticals based on length of service.

The Application Process: You are required to submit your CV and a cover letter via our online application form. In your cover letter, you must explain why you think you would be suited to the role and why you would like to join Costello Medical, with examples to support both. Your CV should clearly state the dates of all qualifications and grades achieved where applicable. Then, our recruitment process includes a telephone interview with a member of our Talent Acquisition team. Following this, you will also be sent a technical assessment, using R programming, and a proofreading exercise that we ask you to complete in your own time. If successful, you will be invited to an interview which will include a short presentation you can prepare for in advance. Our standard recruitment process lasts around 6 weeks, however, this can be adapted if necessary. As an equal opportunity employer, we are committed to fostering a diverse and inclusive workforce and, throughout the recruitment process, there are a number of reasonable adjustments we can provide.