Epidemiologist

• Responsibilities: You will work on projects that involve the design and execution of a wide variety of real-world studies, perform statistical analyses and communicate results to external stakeholders 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 immediate and deferred start dates throughout 2027 and you will be asked to state your availability on your application form
• Final date to receive applicationss: Whilst there are no set Final date to receive applicationss, 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, Manchester, and Bristol offices

Our Real-World Evidence (RWE) team is growing quickly through demand from both new and existing clients, and we have an exciting opportunity for an Epidemiologist to join our friendly and collaborative team. Our RWE team contribute to the design, execution and subsequent reporting of prospective, retrospective and cross-sectional real-world studies. They develop protocols and statistical analysis, acquire and analyse data, and communicate findings in both written and oral formats.

Project types include the secondary analysis of data from patient registries and electronic health record (EHR) databases, as well as primary data generation such as prospective cohort studies or patient/clinician surveys. Studies cover a wide range of research questions on burden of disease, clinical effectiveness or economic topics, among others.

You will work in project teams alongside colleagues from all service areas to ensure that RWE projects are completed to an exceptionally high standard, on time and in line with client expectations. This role will include a range of work with varying levels of technical requirements. 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 successful candidate will be someone who shows the potential to progress rapidly and who, with close mentoring, could take on project management and client responsibility in six to twelve months.

Our team typically work on several projects at simultaneously 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 services and a broad range of therapeutic areas.

We offer many opportunities for personal and professional development at 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 on the Top 100 Best Companies to Work For list since 2017, as well as receiving B Corporation Accreditation in 2022.

In line with our company mission, you will be somebody who thrives on the challenges that the healthcare industry presents and relishes the opportunity to improve patient outcomes globally. You will also be willing to step up and support your project team as needed

• A degree level or higher qualification in a relevant subject is required (minimum 2.1 or above)
• A good understanding of epidemiological techniques and data analysis methods
• A good understanding of statistical techniques, sufficient to engage in technical discussions with our Statisticians
• The technical ability, coupled with the written and oral communication skills, to explain complex techniques and results to non-experts
• A good understanding of the R programming language used for the analysis of large datasets, and the…