🚀 Internship

Internship - Data Science, Epidemiology

IQVIA

24d ago

🚀 Off-cycle

London

Rolling basis

Description

Join IQVIA London as an Epidemiologist Intern in the Real-World Evidence and Methods Generation team and help us deliver high‑quality scientific research to our clients in the global pharmaceutical and healthcare industries. The internship offered by the group is an arrangement where IQVIA aims to provide an entry-level candidate with an opportunity to apply their studies in a professional setting on live client projects related to their field of study

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Area of Responsibilities

Healthcare
Science

Responsibilities

Your primary responsibilities as an Epidemiologist Intern in our team will be wide ranging, but may involve:

  • Supporting the design, execution or reporting of real-world database (RWD) studies
  • Contributing to the writing of study protocols, and/or study reports
  • Supporting the writing of proposals for RWD studies when requests for proposals are received from clients
  • Supporting with developing abstracts, manuscripts or conference presentations for projects
  • Contributing to internal initiatives for the advancement of innovative epidemiological approaches
  • Completion of training in project delivery and real-world application of epidemiological or statistical methods
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Requirements

  • To be currently studying for (or recently completed) an MSc or equivalent in epidemiology, public health or in a related discipline
  • Ideally, some experience designing and executing prospective or retrospective database studies
  • Excellent time management skills, contributing to multiple projects with competing timelines
  • Commitment to working collaboratively and effectively with people of other disciplines
  • Strong verbal communication and scientific writing skills
  • Fluency in English (spoken and written) – please submit your CV in English

Preferred Qualities

  • Some exposure to the healthcare and/or pharmaceutical industries
  • Exposure to working with large, real-world healthcare databases
  • Publications in peer reviewed journals and/or abstracts in scientific conferences
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