Statistician

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.

• Devising and performing statistical analysis plans and communicating methodologies and results to clients in the healthcare sector.

• 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 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, with the ability to uphold exceptional customer service and quality of deliverables under multiple competing demands.
• Excellent organisational and time management skills, with 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.

• 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
• Location: Global Headquarters in Cambridge, and offices in London, Manchester, and Bristol
• Start Date: Early 2026, including March and April; availability to be stated on the application form
• Application Deadlines: No set deadlines; role will close when a suitable candidate is found

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 communicate methodologies and results in written and oral formats to drug and device manufacturers, doctors and reimbursement agencies such as NICE in the UK. Analyses cover patient-level clinical trial data, observational real-world data, and published aggregate data using techniques including basic statistics, regression, survival analysis, and Bayesian network meta-analysis with standard and emerging methods.

You will work in project teams, receive training on technical aspects, project management and client communication. Delivering project work requires close collaboration with clients; after induction you will participate in client calls and meetings with external stakeholders. Some meetings may require travel outside the UK.

Projects span multiple engagements; results may feed into publications, value materials, health economic models, or health technology assessment submissions. You will be exposed to a range of service offerings and therapeutic areas.

We offer flexible working arrangements that allow colleagues who have passed probation to work from home up to half their time, measured over a 2-week rolling period. During probation (normally the first 6 months), you may work from home 1 day per week.

Learn more about a typical day in the life of a Statistician at Costello Medical: see the Careers page for details.

Explore personal and professional development opportunities at Costello Medical via career profiles from colleagues.

Costello Medical is a global healthcare agency specialising in medical communications, market access and health economics. We work with pharmaceutical and medical technology companies, patient and public health bodies and charities. We have been listed in the Top 100 Best Companies to Work For since 2017 and were accredited by B Corporation in 2022.

Due to Skilled Worker visa regulations, eligibility for visa sponsorship includes: New Entrant criteria (including under 26, current UK study, or recent UK graduate) or a PhD in a STEM subject. Details are provided on government guidance and costellomedical.com resources. You will provide right-to-work details on your application.

For questions, contact recruitment at costellomedical.com.

Note: This role may involve confidential data; applicants should not rely solely on AI to generate application materials.