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Statistician

Company Details
Industry: Science and Technology
Description: Costello Medical is a rapidly growing global healthcare agency specialising in medical communication 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. Our lasting client partnerships create a direct and measurable impact on the successful launch of novel therapies and devices across a wide range of disease areas. Our vision is to be a community of the very best people, constantly challenging ourselves to make meaningful and outstanding contributions to improving healthcare. We are committed to our company values which are central to creating our fun, friendly and innovative workplace in which we strive to deliver the highest standards of quality. As a result, we have been listed in The Sunday Times Top 100 Best Small Companies to Work For list for three consecutive years.
Job Description

Statistics at Costello Medical

Are you looking for a role in which you can directly apply your statistical knowledge to the medical field?

Our Statistics team is growing quickly through demand from both new and existing clients, and we have an exciting opportunity for a Statistician to join our friendly and collaborative team. The successful candidate will play a key role in shaping the future of Costello Medical’s Statistics team and service offering.

Our Statistics team provide statistical and analytical expertise across Costello Medical, devising statistical analysis plans and performing data analysis within Excel, R, SAS and WinBUGS. 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 analysis varies across patient-level clinical trial data, observational study data, real-world data and published aggregate data, and 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.

About The Role

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 one-to-one training in the technical aspects of the role, including 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 teleconferences and face-to-face meetings with external stakeholders.
The Statistics team is growing quickly, and so the successful applicant will be someone who shows the potential to develop their skills rapidly. Our scientific Senior Management team all joined the company in entry-level roles and progressed internally; we remain committed to the principle of developing talent from within. We are particularly keen to hear from talented and motivated individuals who could take on project management and client responsibility within six to twelve months, and who are keen to progress into a leadership role in the Statistics team. We also offer tailored career progression opportunities depending on individual strengths and interests, which could include a focus on technical excellence.
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 the services offered by Costello Medical and a broad range of therapeutic areas.
Some client meetings and congresses take place outside the UK, which presents opportunities for overseas travel.

About You

Essential requirements for the role are:

  • A degree level or higher qualification in a scientific or mathematical discipline (minimum 2.1) is required, although a Masters or PhD would be highly advantageous. A focus on statistics and data analysis is essential
  • The technical and mathematical ability, coupled with the written and oral communication skills, to explain complex techniques and results to non-experts
  • Proficiency in the R programming language, and the willingness and ability to rapidly develop your programming skills
  • A willingness to trial, explore or recommend new software or techniques that may suit specific projects
  • A desire to apply your statistical knowledge and technical skills to the healthcare industry
  • 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
  • Highly organised, 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 is fundamental; this will be assessed during the selection process

Desirable requirements for the role are:

  • Experience with SAS, or other programming languages used for data analysis
  • Awareness of data standards for clinical research and statistical analysis (e.g. CDISC, SDTM, ADaM, ICH Statistical Principles for Clinical Trials)
  • Experience in and/or knowledge of medical data, clinical processes or trials

Please submit your CV and cover letter via our online application form. In your cover letter you should explain why you think you would be suited to the role and why you would like to join Costello Medical.

Your CV should clearly state your undergraduate degree class and grade of pass in any subsequent degree(s), along with your visa status and eligibility to work in the UK (we regret that we are currently unable to sponsor non-EEA nationals).

Salary: £30000 - £40000
Employment Type: Full Time
Contact Information
Name: Recruitment Team