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, 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.
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.
To learn more about a typical day for a Statistician at Costello Medical, please click here: https://www.costellomedical.com/day-in-the-life/statistician.html
Andrei, a Senior Statistician at Costello Medical, has written an article for the University of Cambridge where he shares his experiences of studying Mathematics at university and seeking a role where he could use his mathematical skills for good, which led him to Costello Medical: https://unicamcareers.edublogs.org/2023/01/27/careers-in-data-quantitative-degrees-can-lead-to-meaningful-careers-in-healthcare/
Requirements
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:
Desired requirements for the role are:
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. Our mission is to be a community of the very best people, building trusted partnerships across the healthcare sector by delivering an exceptional service. Our vision is to be a leading global partner consistently striving for meaningful and outstanding contributions that improve people’s health and lives.
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 Top 100 Companies to Work For list for five consecutive years.
On 27th May 2022 Costello Medical received its certification as a B Corporation. We are really proud of this achievement as it demonstrates that Costello Medical is meeting the highest standards of verified social and environmental performance. We underwent a rigorous assessment that covered the whole of our business including employee benefits, charitable giving and sustainability. We believe this certification is external validation of our mission to be a force for good.
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. Please click hereto read more about this and contact the People Team via [email protected] should you require reasonable adjustments at any stage.
We are currently recruiting for start dates throughout 2024, which occur on a monthly basis. You will be asked to state your availability on your application form. Whilst there are no set application deadlines, we strongly recommend applying as early as possible so that we can begin processing your application. The role may close when suitable candidates are found.
Please note that this role is available in our Global Headquarters in Cambridge as well as our London, Manchester and Bristol offices. You can learn more about our office locations here: www.costellomedical.com/careers/locations
Benefits
Please click here to learn about our reward package and the other benefits of working for Costello Medical: https://www.costellomedical.com/careers/benefits-package-in-the-uk/
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. As written communication is a vital skill for this role, if your cover letter is suspected to have been generated by Artificial Intelligence (AI), your application is likely to be disqualified. Your CV should clearly state the dates of all qualifications and grades achieved where applicable.
Please contact the Talent Acquisition team at [email protected] if you have any questions about the role or application process.
We can provide visa sponsorship for eligible candidates for our Statistician role. You will be asked to provide details of your right to work in the UK within your application, however this will have no impact on the processing of your application.
