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Epidemiologist

Costello Medical
United Statesfull_timeVerifiedPosted 10 Mar 2023
💰 $75,000/yr($70,000/yr$75,000/yr)

About the role

Role Summary

  • 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: $70,000 to $75,000 per annum depending on your previous experience
  • Benefits: Hybrid working options, generous holiday allowance, flexible working hours, private medical and dental insurance, 401K plan, life insurance, full funding for external training, comprehensive travel insurance and more
  • Role Type: Full-time, permanent
  • Start Date: We are currently recruiting for start dates throughout 2023, which occur on a monthly basis
  • Location: This role is available in our Boston office


About the Role

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. The successful candidate will play a key role in shaping the future of Costello Medical’s RWE service offering.

Our RWE team contribute to the design, execution and subsequent reporting of prospective, retrospective or cross-sectional real-world studies. They develop protocols and statistical analysis plans (in collaboration with our Statisticians, clients and external experts), acquire and analyse data, and communicate the methodologies and results in both written and oral formats. Studies include data from patient registries, claims databases, prospective studies or any other source of real-world data, and involve 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 specialities to ensure that RWE 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 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 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 services and a broad range of therapeutic areas.


Career Profile

To learn more about the tailored career progression we offer at Costello Medical, please click below to read about Amy’s progression to the position of the Head of Real-World Evidence role, after joining the company as a Public Health Intern in 2014: https://www.costellomedical.com/career-profiles/amy-buchanan-hughes.html

Requirements

About You

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.

Essential requirements for the role are:

  • A bachelor’s or higher degree in a relevant subject (minimum GPA 3.3)
  • 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 at least one programming language used for the analysis of large datasets (e.g. R or Stata), and the willingness and abi

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Company

Costello Medical

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