ICON plc

Clinical Data Science Associate

ICON plc

full-time

Posted on:

Location Type: Office

Location: DalianChina

Visit company website

Explore more

AI Apply
Apply

About the role

  • Conducting statistical analyses and data visualizations to identify trends and patterns in clinical trial data.
  • Collaborating with cross-functional teams to ensure data integrity and adherence to study protocols.
  • Assisting in the development of analytical models and tools to improve data analysis processes.
  • Preparing reports and presentations that effectively communicate findings to stakeholders.
  • Staying updated on industry trends and advancements in data science to contribute to innovative practices.

Requirements

  • Degree in statistics, data science, life sciences, or a related field.
  • Experience in data analysis, preferably within a clinical research environment.
  • Strong knowledge of statistical software and data visualization tools.
  • Attention to detail and a commitment to data quality and accuracy.
  • Excellent communication and teamwork skills, with the ability to collaborate effectively across diverse teams.
Benefits
  • Various annual leave entitlements
  • A range of health insurance offerings to suit you and your family’s needs.
  • Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead.
  • Global Employee Assistance Programme, TELUS Health, offering 24-hour access to a global network of over 80,000 independent specialised professionals who are there to support you and your family’s well-being.
  • Life assurance
  • Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidised travel passes, health assessments, among others.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
statistical analysisdata visualizationanalytical modelsdata analysis
Soft Skills
attention to detailcommitment to data qualityexcellent communicationteamworkcollaboration