ICON plc Statistical Analyst Vacancy – Bengaluru (4+ Years Statistical Programming)
ICON plc Statistical Analyst Vacancy – Bengaluru (4+ Years Statistical Programming)

Statistical Analyst Vacancy at ICON plc – Bengaluru

At ICON Clinical Research Bangalore, a rare chance has emerged for experienced professionals: ICON plc seeks a Statistical Analyst in Bengaluru, Karnataka. This role offers an opportunity to contribute to clinical trial activities and collaborate with cross-functional teams in a global healthcare intelligence organization.

About ICON Clinical Research Bangalore

ICON plc is a global healthcare intelligence and clinical research organization dedicated to accelerating the development of new medicines and treatments. With a commitment to integrity, collaboration, agility, and inclusion, ICON works to enhance the quality of statistical analyses and support clinical trial activities, ensuring that patients receive the best possible care through innovative research.

Job Details:

Position: Statistical Analyst

Location: Bengaluru, Karnataka

Job Description

As a Statistical Analyst at ICON plc, the successful candidate will support clinical trial activities and collaborate with cross-functional teams to ensure the delivery of high-quality statistical analyses. Responsibilities include providing input on study design, protocols, and case report forms, as well as writing statistical methods sections of study protocols, including sample size and power calculations, with oversight.

Eligibility Criteria

  • Statistics/programming background.
  • 4+ years of statistical programming experience in pharma, biotech, or CRO.

How to Apply

Interested candidates can apply through the official careers portal: CLICK HERE FOR THE ORIGINAL NOTIFICATION / APPLY ONLINE

Conclusion

This ICON plc Statistical Analyst opportunity is ideal for qualified candidates looking to advance their careers in the clinical research field. Interested individuals are encouraged to apply before the deadline to seize this chance to make a significant impact in healthcare research.

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