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Associate Epidemiologist - RWE

JR067771

About the role

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Associate Epidemiologist

At ICON, it's our people that set us apart.

As a global provider of drug development solutions, our work is serious business. But that doesn't mean you can't have fun while you do it. With our vision to be the partner of choice in drug development, we hire only the best and brightest in the industry. Are you one of them?

We are looking for passionate, resilient, and inspiring individuals to join our team. As an Associate Epidemiologist, you will provide methodological expertise relating to the design and conduct of studies, will perform or support the analyses, and will contribute to reporting and interpreting the findings.

The role

  • Recognize, exemplify and adhere to ICON's values which centers around our commitment to People, Clients and Performance.
  • As a member of staff, the employee is expected to embrace and contribute to our culture of process improvement with a focus on streamlining our processes adding value to our business and meeting client needs.
  • Travel (approximately 15%) domestic and/or international
  • Take responsibility for co-ordinating own workload and embrace teamwork approach in an LPOR department
  • Contribute to marketing activities as appropriate
  • Establish and maintain client relationships
  • Contribute to building business links within LPOR and with ICON Clinical Research
  • Assist in proposal writing, project work and client liaison
  • Contribute to publications/scientific communications as appropriate
  • Demonstrate and actively promote an open and honest working environment to encourage close teamwork and foster knowledge transfer
  • Responsible for ensuring compliance with all relevant SOPs, policies and procedures
  • Such other duties and tasks as are allocated to you at the reasonable discretion of the Company

What you need

  • A bachelor's degree or equivalent as relevant, Master's degree preferred Epidemiology Or BioStats preferred
  • A demonstrable experience in literature reviews and evidence synthesis
  • Experience / familiarity with one or more of the following statistical packages (R, STATA, SAS, WinBUGs)
  • Excellent oral and written communication skills.
  • Accuracy, attention to detail and time management skills.

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