Statistician job opportunity at Costello Medical.

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Date2026-01-20T09:57:41.204Z bot
Costello Medical Statistician
Experience: General
Pattern: Full-time
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loacation Bristol, United Kingdom
loacation Bristol....United Kingdom

Role Summary 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 are currently recruiting for start dates in early 2026, including March and April, and you will be asked to state your availability on your application form Application Deadlines : Whilst there are no set application deadlines, we strongly recommend applying as early as possible. The role will close when a suitable candidate is 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 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 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 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: https://www.costellomedical.com/careers/working-at-costello-medical/day-in-the-life-statistician/ Career Profile To learn more about the personal and professional development opportunities at Costello Medical, explore first-hand career profiles from our colleagues about their experiences with the company: https://www.costellomedical.co.uk/careers/working-at-costello-medical/ About Costello Medical Costello Medical is a rapidly growing global healthcare agency specialising in medical communications, market access and health economic and outcomes research. We work with a wide range of clients, including the industry’s most successful pharmaceutical and medical technology companies, patient and public health bodies and charitable organisations. We have been listed in the Top 100 Best Companies to Work For list since 2017 and were proud to receive B Corporation accreditation in 2022. Learn more about us, our work, and our mission on our website: https://www.costellomedical.com/ 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 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 that may suit specific projects Strong accuracy and meticulous attention to detail, along with the ability to uphold exceptional customer service and quality of deliverables under multiple competing demands Excellent organisational and time management skills, coupled with the flexibility to respond to shifting deadlines The ability to take initiative and work independently, as well as collaboratively within project teams Excellent written English, which will be assessed during the selection process Desired requirements for the role are : A Master’s or PhD in a scientific or mathematical discipline Knowledge of SAS, Stata, SQL, or Python A strong understanding of medical data, clinical processes, or clinical trials

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